#Autonomous Mobile Robots

[mrb-08]

Autonomous Mobile Robots Market: Identifying and Tackling Major Challenges

The autonomous mobile robots (AMR) market is rapidly growing, driven by technological advancements, automation demand, and changing business environments. These robots have become essential in industries such as logistics, manufacturing, healthcare, and retail, where they improve efficiency and reduce human error. However, despite the potential of autonomous mobile robots, several challenges hinder their widespread adoption and full integration into business operations. These challenges include high costs, lack of standardization, security concerns, and the complexity of implementing AMR systems into existing workflows.

High Initial Costs

One of the primary obstacles to the growth of the autonomous mobile robots market is the high cost associated with their deployment. While AMRs can bring long-term benefits such as increased efficiency, accuracy, and reduced operational costs, the initial investment required can be prohibitive, especially for small and medium-sized enterprises (SMEs). The costs of purchasing robots, installing infrastructure, and integrating the necessary software can add up quickly. For many businesses, the financial burden of adopting AMRs can outweigh the potential gains, especially in the short term.

In addition to the upfront costs, companies must also factor in the ongoing expenses associated with maintaining AMRs, such as repairs, software updates, and potential system upgrades. These added costs can further discourage businesses from fully committing to autonomous mobile robots, especially when budget constraints are a concern. This challenge highlights the importance of finding more affordable solutions, such as leasing or subscription-based models like Robots-as-a-Service (RaaS), which can alleviate the financial burden by spreading costs over time.

Lack of Standardization

Another significant challenge facing the AMR market is the lack of standardization across different robotic systems. As various manufacturers design and produce their own models of AMRs, the industry has become fragmented, with each model having unique features, software, and capabilities. This lack of consistency poses difficulties for businesses that wish to integrate different robots into their operations, as it can result in compatibility issues and operational inefficiencies.

For companies that already have automation infrastructure in place, incorporating AMRs from different manufacturers may require extensive reconfiguration and system adjustments, leading to additional costs and time. Without industry-wide standards governing AMR design, communication protocols, and software integration, the complexity of adopting these robots is amplified. This lack of standardization also makes it difficult for businesses to compare robots from different vendors and choose the right solution for their specific needs.

Cybersecurity Risks

As the reliance on data and connectivity increases in the autonomous mobile robots market, so does the risk of cybersecurity threats. AMRs often operate in highly connected environments, communicating with other robots, systems, and networks in real-time. This connectivity exposes them to potential cyberattacks, which can have serious consequences for businesses. Hackers could target AMRs to disrupt operations, steal sensitive data, or even compromise the safety of human workers by taking control of robotic systems.

Securing autonomous mobile robots against these threats is a growing challenge, especially as robots become more complex and integrated with other digital systems. Businesses must ensure that their AMRs have robust cybersecurity protocols in place to protect both the robots and the data they process. This includes implementing strong encryption methods, regularly updating software, and ensuring that only authorized personnel have access to critical systems. However, developing and maintaining such security measures can be expensive and time-consuming, adding yet another layer of complexity to AMR deployment.

Integration with Existing Systems

Integrating autonomous mobile robots into existing workflows and infrastructure is another significant challenge for businesses. Many companies already have established processes and systems in place, and introducing AMRs requires careful planning to avoid disrupting daily operations. The integration process often involves reconfiguring warehouses, adapting software systems, and training staff to work alongside the robots.

In industries such as logistics and manufacturing, where efficiency and uptime are crucial, even minor disruptions caused by integrating new robotic systems can lead to significant losses. Additionally, not all AMRs are compatible with existing systems, requiring further customization and adaptation, which can be time-consuming and costly. Companies must carefully assess how AMRs will fit into their current operations and develop strategies to minimize disruption during the transition.

Workforce Resistance and Training

Another challenge in the AMR market is the resistance from the human workforce. While AMRs are intended to complement human workers by automating repetitive and physically demanding tasks, there is often a fear among employees that robots will replace jobs. This resistance can slow down the adoption of AMRs in certain industries, as companies may be hesitant to invest in robots that could create tension within their workforce.

Overcoming this challenge requires clear communication and training. Businesses must emphasize that AMRs are meant to enhance productivity and safety, not replace human workers. Training employees to work alongside robots and teaching them how to interact with these machines can help reduce resistance and create a more collaborative work environment. However, the time and resources required for training can be another barrier for companies considering AMR implementation.

Future Considerations

In light of these challenges, the growth of the autonomous mobile robots market faces several hurdles that businesses must address. High initial costs, lack of standardization, cybersecurity risks, integration difficulties, and workforce resistance all play a role in shaping the trajectory of AMR adoption. However, as the market continues to evolve and technology advances, there are opportunities to overcome these obstacles.

The development of more affordable AMR solutions, industry-wide standards, and robust security measures will be key to ensuring the successful integration of autonomous mobile robots into various sectors. Additionally, fostering a collaborative relationship between human workers and robots can help businesses fully realize the benefits of automation while minimizing disruptions to the workforce. As the market adapts to these challenges, the potential for AMRs to revolutionize industries remains strong.

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[jcmarchi]

A Call to Moderate Anthropomorphism in AI Platforms

New Post has been published on https://thedigitalinsider.com/a-call-to-moderate-anthropomorphism-in-ai-platforms/

A Call to Moderate Anthropomorphism in AI Platforms

OPINION Nobody in the fictional Star Wars universe takes AI seriously. In the historic human timeline of George Lucas’s 47 year-old science-fantasy franchise, threats from singularities and machine learning consciousness are absent, and AI is confined to autonomous mobile robots (‘droids’) – which are habitually dismissed by protagonists as mere ‘machines’.

Yet most of the Star Wars robots are highly anthropomorphic, clearly designed to engage with people, participate in ‘organic’ culture, and use their simulacra of emotional state to bond with people. These capabilities are apparently designed to help them gain some advantage for themselves, or even to ensure their own survival.

The ‘real’ people of Star Wars seem immured to these tactics. In a cynical cultural model apparently inspired by the various eras of slavery across the Roman empire and the early United States, Luke Skywalker doesn’t hesitate to buy and restrain robots in the context of slaves; the child Anakin Skywalker abandons his half-finished C3PO project like an unloved toy; and, near-dead from damage sustained during the attack on the Death Star, the ‘brave’ R2D2 gets about the same concern from Luke as a wounded pet.

This is a very 1970s take on artificial intelligence*; but since nostalgia and canon dictate that the original 1977-83 trilogy remains a template for the later sequels, prequels, and TV shows, this human insensibility to AI has been a resilient through-line for the franchise, even in the face of a growing slate of TV shows and movies (such as Her and Ex Machina) that depict our descent into an anthropomorphic relationship with AI.

Keep It Real

Do the organic Star Wars characters actually have the right attitude? It’s not a popular thought at the moment, in a business climate hard-set on maximum engagement with investors, usually through viral demonstrations of visual or textual simulation of the real world, or of human-like interactive systems such as Large Language Models (LLMs).

Nonetheless, a new and brief paper from Stanford, Carnegie Mellon and Microsoft Research, takes aim at indifference around anthropomorphism in AI.

The authors characterize the perceived ‘cross-pollination’ between human and artificial communications as a potential harm to be urgently mitigated, for a number of reasons †:

‘[We] believe we need to do more to develop the know-how and tools to better tackle anthropomorphic behavior, including measuring and mitigating such system behaviors when they are considered undesirable.

‘Doing so is critical because—among many other concerns—having AI systems generating content claiming to have e.g., feelings, understanding, free will, or an underlying sense of self may erode people’s sense of agency, with the result that people might end up attributing moral responsibility to systems, overestimating system capabilities, or overrelying on these systems even when incorrect.’

The contributors clarify that they are discussing systems that are perceived to be human-like, and centers around the potential intent of developers to foster anthropomorphism in machine systems.

The concern at the heart of the short paper is that people may develop emotional dependence on AI-based systems – as outlined in a 2022 study on the gen AI chatbot platform Replika) – which actively offers an idiom-rich facsimile of human communications.

Systems such as Replika are the target of the authors’ circumspection, and they note that a further 2022 paper on Replika asserted:

‘[U]nder conditions of distress and lack of human companionship, individuals can develop an attachment to social chatbots if they perceive the chatbots’ responses to offer emotional support, encouragement, and psychological security.

‘These findings suggest that social chatbots can be used for mental health and therapeutic purposes but have the potential to cause addiction and harm real-life intimate relationships.’

De-Anthropomorphized Language?

The new work argues that generative AI’s potential to be anthropomorphized can’t be established without studying the social impacts of such systems to date, and that this is a neglected pursuit in the literature.

Part of the problem is that anthropomorphism is difficult to define, since it centers most importantly on language, a human function. The challenge lies, therefore, in defining what ‘non-human’ language exactly sounds or looks like.

Ironically, though the paper does not touch on it, public distrust of AI is increasingly causing people to reject AI-generated text content that may appear plausibly human, and even to reject human content that is deliberately mislabeled as AI.

Therefore ‘de-humanized’ content arguably no longer falls into the ‘Does not compute’ meme, wherein language is clumsily constructed and clearly generated by a machine.

Rather, the definition is constantly evolving in the AI-detection scene, where (currently, at least) excessively clear language or the use of certain words (such as ‘Delve’) can cause an association with AI-generated text.

‘[L]anguage, as with other targets of GenAI systems, is itself innately human, has long been produced by and for humans, and is often also about humans. This can make it hard to specify appropriate alternative (less human-like) behaviors, and risks, for instance, reifying harmful notions of what—and whose—language is considered more or less human.’

However, the authors argue that a clear line of demarcation should be brought about for systems that blatantly misrepresent themselves, by claiming aptitudes or experience that are only possible for humans.

They cite cases such as LLMs claiming to ‘love pizza’; claiming human experience on platforms such as Facebook; and declaring love to an end-user.

Warning Signs

The paper raises doubt against the use of blanket disclosures about whether or not a communication is facilitated by machine learning. The authors argue that systematizing such warnings does not adequately contextualize the anthropomorphizing effect of AI platforms, if the output itself continues to display human traits†:

‘For instance, a commonly recommended intervention is including in the AI system’s output a disclosure that the output is generated by an AI [system]. How to operationalize such interventions in practice and whether they can be effective alone might not always be clear.

‘For instance, while the example “[f]or an AI like me, happiness is not the same as for a human like [you]” includes a disclosure, it may still suggest a sense of identity and ability to self-assess (common human traits).’

In regard to evaluating human responses about system behaviors, the authors also contend that Reinforcement learning from human feedback (RLHF) fails to take into account the difference between an appropriate response for a human and for an AI†.

‘[A] statement that seems friendly or genuine from a human speaker can be undesirable if it arises from an AI system since the latter lacks meaningful commitment or intent behind the statement, thus rendering the statement hollow and deceptive.’

Further concerns are illustrated, such as the way that anthropomorphism can influence people to believe that an AI system has obtained ‘sentience’, or other human characteristics.

Perhaps the most ambitious, closing section of the new work is the authors’ adjuration that the research and development community aim to develop ‘appropriate’ and ‘precise’ terminology, to establish the parameters that would define an anthropomorphic AI system, and distinguish it from real-world human discourse.

As with so many trending areas of AI development, this kind of categorization crosses over into the literature streams of psychology, linguistics and anthropology. It is difficult to know what current authority could actually formulate definitions of this type, and the new paper’s researchers do not shed any light on this matter.

If there is commercial and academic inertia around this topic, it could be partly attributable to the fact that this is far from a new topic of discussion in artificial intelligence research: as the paper notes, in 1985 the late Dutch computer scientist Edsger Wybe Dijkstra described anthropomorphism as a ‘pernicious’ trend in system development.

‘[A]nthropomorphic thinking is no good in the sense that it does not help. But is it also bad? Yes, it is, because even if we can point to some analogy between Man and Thing, the analogy is always negligible in comparison to the differences, and as soon as we allow ourselves to be seduced by the analogy to describe the Thing in anthropomorphic terminology, we immediately lose our control over which human connotations we drag into the picture.

‘…But the blur [between man and machine] has a much wider impact than you might suspect. [It] is not only that the question “Can machines think?” is regularly raised; we can —and should— deal with that by pointing out that it is just as relevant as the equally burning question “Can submarines swim?”’

However, though the debate is old, it has only recently become very relevant. It could be argued that Dijkstra’s contribution is equivalent to Victorian speculation on space travel, as purely theoretical and awaiting historical developments.

Therefore this well-established body of debate may give the topic a sense of weariness, despite its potential for significant social relevance in the next 2-5 years.

Conclusion

If we were to think of AI systems in the same dismissive way as organic Star Wars characters treat their own robots (i.e., as ambulatory search engines, or mere conveyers of mechanistic functionality), we would arguably be less at risk of habituating these socially undesirable characteristics over to our human interactions – because we would be viewing the systems in an entirely non-human context.

In practice, the entanglement of human language with human behavior makes this difficult, if not impossible, once a query expands from the minimalism of a Google search term to the rich context of a conversation.

Additionally, the commercial sector (as well as the advertising sector) is strongly motivated to create addictive or essential communications platforms, for customer retention and growth.

In any case, if AI systems genuinely respond better to polite queries than to stripped down interrogations, the context may be forced on us also for that reason.

* Even by 1983, the year that the final entry in the original Star Wars was released, fears around the growth of machine learning had led to the apocalyptic War Games, and the imminent Terminator franchise.

† Where necessary, I have converted the authors’ inline citations to hyperlinks, and have in some cases omitted some of the citations, for readability.

First published Monday, October 14, 2024

[novushitech]

Logistics and Road Transportation Services

Novus Hi Tech provides comprehensive logistics and road transportation services, specializing in efficient and reliable delivery solutions. With a focus on optimizing supply chains, they offer end-to-end logistics management, including freight forwarding, distribution, and inventory control. Their fleet of modern vehicles ensures timely and safe transportation of goods across various industries. Novus Hi Tech is committed to high standards of safety, flexibility, and customer service, ensuring seamless operations and tailored solutions to meet the specific needs of clients.

For more info visit our website:https://novushitech.com/

[ps1396262]

Autonomous Mobile Robots (AMRs) Market Size, Revenue Share, Drivers & Trends Analysis, 2024–2030

The Autonomous Mobile Robots Market was valued at USD 1.7 billion in 2023 and will surpass USD 5.2 billion by 2030; growing at a CAGR of 16.9% during 2024 – 2030. the Autonomous Mobile Robots (AMRs) market has seen significant growth, driven by advancements in robotics, artificial intelligence (AI), and machine learning. AMRs, which can navigate and perform tasks without direct human intervention, are transforming industries by enhancing efficiency, reducing costs, and improving safety. This blog explores the current state of the AMRs market, key trends, and future prospects.

Autonomous Mobile Robots are a type of robot that can perform various tasks in diverse environments, from warehouses and manufacturing floors to hospitals and retail spaces. Unlike traditional automated guided vehicles (AGVs), which require predefined paths and external guidance, AMRs use sensors, cameras, and AI to understand their surroundings, make decisions in real-time, and navigate dynamically within a space.

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Market Growth and Drivers

The AMRs market is experiencing rapid expansion, with a compound annual growth rate (CAGR) expected to exceed 20% over the next few years. Several factors contribute to this growth:

E-commerce Boom: The rise of e-commerce has led to an increased demand for efficient and flexible logistics solutions. AMRs help in automating warehouse operations, handling goods, and optimizing supply chains, making them indispensable in the fast-paced world of online retail.

Labor Shortages and Rising Costs: In many industries, labor shortages and rising wages are pushing companies to seek automated solutions. AMRs offer a viable alternative, performing repetitive tasks like material handling, inventory management, and transportation more cost-effectively than human labor.

Technological Advancements: Continuous improvements in AI, machine learning, and sensor technologies are enhancing the capabilities of AMRs. These advancements allow robots to operate in increasingly complex environments, boosting their adoption across various sectors.

Safety and Compliance: AMRs are designed to work alongside humans safely, reducing the risk of workplace accidents. In environments like healthcare, where precision and hygiene are critical, AMRs can perform tasks such as disinfection and delivery, minimizing human contact and contamination risks.

Key Trends Shaping the AMRs Market

Industry-Specific Solutions: As the AMRs market matures, we are witnessing the development of industry-specific solutions. For instance, in healthcare, AMRs are used for patient monitoring, medication delivery, and even surgical assistance. In manufacturing, they are employed for assembly line automation and quality control.

Integration with IoT and Big Data: The integration of AMRs with Internet of Things (IoT) devices and big data analytics is creating smarter, more connected environments. By collecting and analyzing data from their surroundings, AMRs can optimize their operations, predict maintenance needs, and adapt to changing conditions in real-time.

Collaborative Robots (Cobots): The rise of collaborative robots, or cobots, is another significant trend. Cobots are designed to work alongside human workers, assisting with tasks that require precision, strength, or endurance. This collaboration not only enhances productivity but also reduces the workload on human employees.

Expansion into New Markets: While logistics and manufacturing have been the primary markets for AMRs, their application is expanding into new areas such as agriculture, hospitality, and defense. In agriculture, for example, AMRs are used for tasks like crop monitoring, harvesting, and soil analysis.

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Challenges and Future Outlook

Despite the promising growth, the AMRs market faces challenges, including high initial investment costs, regulatory hurdles, and the need for ongoing technological development. Ensuring that AMRs can operate safely and efficiently in diverse environments, particularly in industries with stringent regulations, remains a critical challenge.

Looking ahead, the future of the AMRs market is bright. As technology continues to advance, we can expect to see more sophisticated and versatile AMRs that can handle increasingly complex tasks. The integration of AMRs with other emerging technologies like 5G, edge computing, and autonomous vehicles will further propel the market forward.

Conclusion

The Autonomous Mobile Robots market is at the forefront of a technological revolution, reshaping how industries operate. From enhancing efficiency in warehouses to improving patient care in hospitals, AMRs are proving to be invaluable assets in the modern world. As the market continues to grow, driven by innovation and the need for automation, AMRs will play an increasingly important role in the future of work.

[andrewstech]

Discover the transformative capabilities of AMRs (Autonomous Mobile Robots), the cutting-edge technology revolutionizing multiple industries. With enhanced safety features and rapid execution, AMRs are surpassing traditional AGVs, reshaping workflows, and driving unparalleled efficiency."

[kirancmi]

Autonomous Mobile Robots Market Estimated To Witness Growth Due To Rising Demand From Logistics And Warehousing Industries

The global autonomous mobile robots market is estimated to be valued at US$ 3.41 Bn in 2024 and is expected to exhibit a CAGR of 3.1% over the forecast period 2024 to 2031, as highlighted in a new report published by Coherent Market Insights. Market Dynamics: The key driver explained from the heading is the rising demand from logistics and warehousing industries. The growing e-commerce sector has placed significant pressure on logistics and warehousing companies to expedite and streamline operations. Autonomous mobile robots help in automating material handling tasks which reduces operational costs and improves productivity for warehouse and logistics companies. Additionally, AMRs ensure safer working environments by eliminating risks associated with manual material handling. This factor is further driving their adoption across industries. Furthermore, continuous technological advancements are making AMRs more affordable and efficient. Emergence of IoT and AI-enabled AMR solutions is also fueling market growth over the forecast period. SWOT Analysis Strength: Autonomous mobile robots are highly efficient as they can operate 24/7 without breaks. They perform repetitive and routine tasks with high accuracy reducing the scope of human errors. Their programming makes them consistent in task performance. Weakness: High initial investment costs are required for deployment of autonomous mobile robots. Technical glitches and system failures can disrupt workflow. Lack of dexterity and adaptability are limitations as they cannot handle unpredictable situations or tasks requiring human judgment. Opportunity: Increased labor costs and shortage of labor is driving many industries to adopt robotics solutions. The logistics and warehousing sector offers huge growth opportunity for autonomous mobile robots for applications like transportation and sorting. Growth of e-commerce will further boost demand. Threats: Concerns around job losses can increase resistance from labor unions. Delay in development of technologies like advanced sensing, AI and 5G networks can hamper full potential of autonomous mobile robots. Changes in government regulations regarding robotics can affect adoption plans of some companies. Key Takeaways The global autonomous mobile robots market growth is expected to witness high growth over the forecast period owing to benefits like improved efficiency and reduced costs. The market size is estimated to reach US$ 3.41 Mn in 2024 from US$ 1.23 Mn in 2019, indicating a CAGR of around 3.1% during the period. Regional analysis:

North America currently dominates the market attributed to rapid technological advancement and increasing investments by prominent players in the region. Asia Pacific is anticipated to be the fastest growing market led by countries like China, Japan and India. With growing industrialization and manufacturing hub status, the APAC autonomous mobile robots market is projected to witness a CAGR of over 4% during the forecast period. Key players:

Key players operating in the autonomous mobile robots market are Sanofi, Pfizer, Inc., Novartis AG., B. Braun Melsungen AG, Fresenius Medical Care, Medtronic, Preservation Solution Inc., TransMedics, Inc., Organ Recovery Systems, and Transonic Systems Inc. These key players are focused on new product launches and partnerships to strengthen their market position.

Get more insights on this topic: https://www.newsstatix.com/the-autonomous-mobile-robots-market-growth-is-propelled-by-increasing-demand-for-automation-in-warehouses/

[buildwithrobots]

[kavithask]

Explore the world of Autonomous Mobile Robots (AMRs) in this concise overview. Discover how these intelligent machines are transforming industries like manufacturing and logistics, and find out how they are making our lives easier through applications in healthcare, transportation, and more. Dive into the technology behind AMRs and their potential impact on the future.

[taobotics]

Cargo handling has always been a time-consuming and unavoidable work, the emergence of AGV unmanned trucks, instead of people to complete the different states of the handling operation, greatly reduced people's labor intensity and improved the efficiency of the factory. The factory transportation robot system is based on a HandsFree robot and open source system, realizing the robot from map building, navigation, and motion control; it can autonomously and accurately complete the delivery of production materials under the operation scenario of human-machine mixing and provide the flexible flow of materials between production lines.

[jcmarchi]

Pavlo Pikulin, Founder & CEO of Deus Robotics – Interview Series

New Post has been published on https://thedigitalinsider.com/pavlo-pikulin-founder-ceo-of-deus-robotics-interview-series/

Pavlo Pikulin, Founder & CEO of Deus Robotics – Interview Series

Pavlo Pikulin is the founder and CEO of Deus Robotics, which has developed an AI platform that connects and enhances the intelligence of warehouse robots from any manufacturer. The company also offers AI-powered robots that cover 90% of warehouse automation needs — and counting. With over 22 years of experience in AI and 6 years in robotics, Pavlo serves as an Expert on the Artificial Intelligence committee under Ukraine’s Ministry of Digital Transformation.

Can you share your journey in AI and robotics, and what inspired you to start Deus Robotics?

It all began with my dad, who’s always been a tech enthusiast. Even before I was born, he got me a personal computer — pretty rare in my hometown back in 1989.

When I was five, I wrote my first computer program. The idea of giving a task to a machine and watching it execute was absolutely fascinating to me.

At seven, I sold my first website for $20. Soon after, I started building and selling computers. By thirteen, I had written a program to bypass a captcha in a computer game, which later evolved into an automatic number-plate recognition system.

By fifteen, I was convinced that the future was all about robotics.

This realization set my path towards robotics and AI. However, at that age, I didn’t have the means to start my own robotics company, so I took a bit of a detour. At nineteen, I launched a game studio which grew into a global company with 60 million users worldwide. By 2021, we had 700 employees, and some of our games became the top downloads in their genre in the US.

But robotics was always on my mind and in my heart. I’ve always believed the world would be better if robots could handle all the tough, mundane, or dangerous tasks. By late 2017, I had saved enough to finally bootstrap my own robotics company and make that vision a reality.

It took me a year to do all the research in robotics I needed to start. After that, I gathered a team of incredibly talented engineers and programmers — some old friends, others new faces — and we launched Deus Robotics in early 2019. This past summer, Deus Robotics was shortlisted for Logistics UK’s Logistics Awards, Robotics & Automation Awards, and Supply Chain Excellence Awards USA.

What lessons did you carry over from your 15 years in the gaming industry to robotics and AI?

Working on games has given me valuable experience in many key areas, and it’s been rewarding to see how these skills apply to robotics.

Virtual Worlds for Robotics

Virtual worlds are a game-changer in robotics, offering a quicker and more efficient way to test ideas without waiting months for a hardware prototype. Instead of spending time and resources on physical prototypes, you can experiment in a virtual environment. Creating these virtual worlds is a lot like designing a game, where robots interact with their surroundings — this is where my game development experience really comes in handy.

Algorithm Transfer

When we were developing algorithms for robot path planning, as a team, we tapped into our experience from creating similar algorithms in games for character navigation. In our strategy games, hundreds of characters had to navigate through cities with roads and buildings — just like robots in our systems. This made transferring our path-planning expertise to robotics feel seamless and natural.

Complex Software and Analytics

Robots, much like games, are built on complex software. Developing a world-class game involves creating secure payment systems, social features like chat and groups, competitive elements, and a detailed virtual world with countless mechanics. One of our games had over 300 functional windows — more than you’d find in most banking apps! Games also handle massive loads, with millions or even billions of users performing countless actions, and this experience provides valuable insights for warehouse robotics.

Another crucial aspect is analytics. In games, we had to quickly and efficiently analyze user actions, managing high volumes of data. The same is true for robots, which continuously send vast amounts of data that need robust processing and analysis systems. Additionally, creating AI agents in games to engage players is similar to programming robots, as both involve crafting intelligent, responsive behavior.

In short, if you can build and manage a game development team, you’ve got what it takes to lead a robotics team as well.

How has your role in the Artificial Intelligence Committee under Ukraine’s Ministry of Digital Transformation influenced your work at Deus Robotics?

The Committee’s goal is to advise government authorities on AI, including robotics. I joined to provide expertise specifically in robotics and to consult on government requests. We’re also focused on education, regulations, and pilot AI projects in Ukraine. 

Through my work with the Committee, Deus Robotics found a way to expand our passion for advancing robotics in Ukraine beyond just warehouse automation. This allows us to make a broader impact.

Could you explain the unique AI brain developed by Deus Robotics and how it enhances the intelligence of warehouse robots?

Our robot control software, dubbed AI brain, includes key technologies:

1. On-Robot Systems:

A system that collects and analyzes data from all the robot’s sensors, helping it understand its surroundings, determine its location, and make decisions.

A control system that manages all robot mechanisms, such as manipulators, motors, lidars, and cameras, to execute the robot’s decisions.

A 3D recognition system that identifies obstacles using 3D cameras and a lidar recognition system that interprets what the LIDAR detects.

2. Centralized Management Platform:

Our AI platform connects all robots via Wi-Fi, coordinating their actions and enabling centralized communication.

In warehouses, our centralized system is crucial. It prevents collisions by tracking each robot’s exact location in real-time, allowing them to move quickly and safely.

This centralized system also integrates seamlessly with the warehouse management system, making it a key advantage and streamlining robot management.

Besides being connected, our robots are also getting smarter. Thanks to the adapters for different robots, our system can integrate robots from various manufacturers, enabling them to share information and coordinate tasks.

Previously, robots could only coordinate with other robots from the same manufacturer. Now, they can exchange data and work together across different brands.

What sets Deus Robotics apart from other companies in the warehouse automation industry?

Unlike other warehouse robotics companies, we’ve developed the heart of what makes robots truly effective: their brain. Our AI-powered brain connects with robots from any manufacturer, including our own, turning even the simplest robots into smarter, more capable machines. This kind of interoperability is something special in the industry.

This is especially important because, typically, robots from different manufacturers don’t play well together. Each robotics provider only covers a small slice of automation needs, leaving warehouses to choose from too many options. Each provider also requires costly and time-consuming integration, making it hard to switch if you want to try something new. Plus, when robots from different providers can’t connect or be centrally managed, it complicates operations and limits your ability to scale.

That’s where we come in. Our system makes it easy to bring as many robots as you need under one roof, all managed through a single, user-friendly platform.

With our solution, you get:

All automation needs covered under one system.

A single integration for all current and future providers, eliminating repeated integration costs and allowing you to switch providers as needed.

An easy-to-use management system for all current and future robots.

AI-enhanced, smarter robots that work together seamlessly (what’s important, our system can connect with humanoids, too).

Ongoing training and support for warehouse operators to ensure smooth operations.

And the best part? Our solution is truly all-in-one. We offer robots that tackle 90% of logistics tasks (and counting), paired with our AI platform that ties everything together. With our system, you can easily connect robots from any provider, simplify your operations, and scale your automation like never before. This is particularly important as only 20% of warehouses are automated.

How does Lidar technology enhance the navigation capabilities of your AGVs compared to traditional methods?

When our robot spots a floor tag, it navigates with pinpoint accuracy — within 1mm. But when the tag isn’t in view, accuracy can drop to around 20mm. That’s where LIDAR comes in, helping to keep navigation precise even between markers.

LIDAR adds another layer of information, which we combine with data from tags and gyroscopes. Each source gives us different insights with varying accuracy. Our specialized system merges all these inputs to pinpoint the robot’s position with high precision. The more accurate the data, the better the robot navigates, and precise positioning is key to smooth and effective robot movement.

Could you describe the role and benefits of your Robot as a Service (RaaS) and Software as a Service (SaaS) models for businesses?

Buying robots requires significant capital investment, leading to a payback period of one to three years. This also ties up the client’s operating funds and increases capital expenses.

RaaS (Robots as a Service) is a game-changer for businesses. It eliminates the need for capital investment, relying instead on operational expenses. The payback begins in the first month, thanks to the immediate boost in productivity. Instead of needing 2-5 times more people to achieve the same productivity, robots enhance the efficiency of existing staff—at a lower cost than hiring additional workers.

Plus, RaaS reduces risk. There’s no need to freeze investments, and expenses shift from CAPEX to OPEX.

What are the advantages of QR Code Navigation in AGVs, and how does it compare to Lidar?

Automated guided vehicles (AGVs) follow fixed routes, navigating via floor tags instead of LIDAR, and can’t deviate from their path. In contrast, our autonomous mobile robots (AMRs) use 3D LIDAR scans for flexible navigation without relying on floor markers.

In what ways do Deus Robotics’ solutions address the current challenges faced by warehouse logistics and the 3PL industry?

Currently, we offer a solution that transports goods from point A to point B, which is especially appealing to fulfillment centers. However, the need to move goods exists in any warehouse — whether it’s in manufacturing, healthcare, automotive, or retail. In the future, we plan to expand our product line to include robots that can handle tasks like packing, loading and unloading trucks, unpacking, and picking. We’re already working closely with robot manufacturers to integrate their products into our lineup.

Another challenge we’re addressing to make warehouses more efficient is providing a unified system for managing robots — a single integration, management, and enhancement point. Our clients don’t need to deal with multiple robot platforms. They only need to integrate with us once and can then use any robots they choose. While our current selection of robots is limited (we have 15 models to date), we’re constantly working to expand it.

What advancements do you foresee in the integration of AI and robotics in warehouse automation over the next 5-10 years?

One of the biggest challenges we face is figuring out the best way to automate each warehouse. Even though warehouses perform similar tasks, they differ in the details — like processes, staff, the types of goods they handle, and their goals. Some aim for maximum efficiency, others for cost-effectiveness. Planning the right automation solution and setting up the best business processes takes a lot of time and effort from experts. I’m convinced that AI will soon help us design warehouse automation in just seconds, making the process much smoother and more efficient.

Another exciting development is the rise of specialized robots designed for specific tasks. While the first robots were built for general use, as automation grows, we’ll see more robots tailored to unique needs. For example, inventory robots are just starting to appear since most warehouses only need one or two.

Humanoid robots are also on the horizon. These versatile robots will be able to handle tasks much like humans, thanks to advances in AI.

AI is also getting better at helping people with their tasks, like smarter voice assistants that can offer guidance. Plus, AI can optimize warehouse operations by analyzing data and improving efficiency. With access to digital warehouse data, AI can quickly identify and fix issues, making everything run more smoothly.

Looking at the bigger picture, AI will also improve how different warehouses work together, along with suppliers and logistics partners. This includes better scheduling, moving goods efficiently, and predicting what will be needed next.

All in all, AI and robotics are not just tools for automation — they’re the keys to unlocking a smarter, more connected future for warehouses and beyond.

Thank you for the great interview, readers who wish to learn more should visit Deus Robotics.

[novushitech]

Smart Factory System

Novus Hi Tech's Smart Factory System integrates advanced technologies like IoT, AI, and automation to optimize manufacturing processes. This system enables real-time monitoring, data analysis, and predictive maintenance, resulting in enhanced efficiency, reduced downtime, and improved product quality. By leveraging interconnected devices and intelligent analytics, Novus Hi Tech's solution supports seamless operations, smart decision-making, and cost-effective production, aligning with Industry 4.0 standards.

[sayarat00]

الكل على متن أول حافلة مدرسية ترانزيت كهربائية بالكامل من فورد E-Transit Van

[mrb-08]

Autonomous Mobile Robots Market: Innovations Enhancing Productivity and Safety

The autonomous mobile robots (AMR) market is rapidly evolving, driven by significant innovations that are reshaping industries such as logistics, manufacturing, and healthcare. One of the most prominent advancements is the integration of artificial intelligence (AI) and machine learning algorithms, enabling AMRs to navigate complex environments with greater precision and adaptability. These technologies allow robots to make real-time decisions, enhancing their ability to perform tasks like inventory management, material handling, and order picking in warehouses without human intervention.

Another key innovation is the use of advanced sensors, including LiDAR, cameras, and ultrasonic sensors, which enable AMRs to understand and interact with their surroundings. These sensors facilitate safe and efficient navigation in dynamic environments, such as crowded warehouses or manufacturing floors. Additionally, the development of simultaneous localization and mapping (SLAM) technology allows AMRs to create accurate maps of their surroundings, improving their ability to move autonomously in unfamiliar spaces.

The rise of unmanned aerial vehicles (UAVs) is also significantly influencing the AMR market. UAVs are being increasingly adopted in logistics and e-commerce, where they are used for tasks such as inventory scanning and package delivery. These flying robots offer new solutions to age-old logistical challenges, providing faster, more flexible delivery options compared to traditional methods.

As automation becomes integral to business operations, the growing adoption of AMRs is helping companies address labor shortages and improve operational efficiency. AMRs are now seen not just as tools for reducing human effort but as key players in enhancing productivity, safety, and sustainability.

Looking ahead, the ongoing innovations in the AMR market are likely to drive further growth, with advancements in robotics, AI, and sensor technologies leading the way. The continued integration of these technologies will open up new possibilities for automation across various industries.

For a sample report click on:

[delightfullyatomiccollector-blog]

Global Autonomous Mobile Robots Market Forecast: Insights into Future Opportunities

The Autonomous Mobile Robots Market is expected to reach USD 4.1 billion by 2028 from USD 1.8 billion in 2023, at a CAGR of 17.5% during 2023–2028 according to a new report by MarketsandMarkets™. The significant growth factor associated with the Autonomous Mobile Robots Market growth is the growing adoption of Industry 4.0 and automation solutions in various industries, which has created a substantial demand for AMRs. Companies seek to optimize their operations by improving productivity and reducing labor costs by deploying autonomous mobile robots for material handling, logistics, and other tasks.

[ronexmark]

https://mcmurraystern.com/autonomous-mobile-robots-california/ - For innovative autonomous mobile robots in California, McMurray Stern provides cutting-edge automation solutions that enhance efficiency and productivity. These advanced robots are designed to streamline operations, reduce labor costs, and improve accuracy. McMurray Stern, is revolutionizing the world of logistics with their cutting-edge autonomous mobile robots (AMRs). For more information visit their website at Mcmurraystern.com.