#Autonomous-mobile-robots | Explore Tumblr posts and blogs

jcmarchi · 1 month ago

Text

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

0 notes

novushitech · 2 months ago

Text

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/

#autonomous mobile robots

0 notes

monarchinnovation · 2 months ago

Text

#material handling #automated material handling #autonomous mobile robots #automated guided vehicle market

0 notes

ronexmark · 2 months ago

Text

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.

#autonomous-mobile-robots-california

0 notes

shrutirathi226 · 3 months ago

Text

The Role of AI in Enhancing Autonomous Mobile Robot Capabilities

An autonomous mobile robot (AMR) is a multipurpose, self-contained robot that can move around and carry out activities in dynamic surroundings without assistance from a human. AMRs can map their environment, make judgments in real time, and adjust to changing situations since they are outfitted with sophisticated sensors, cameras, and artificial intelligence. These autonomous mobile robots are commonly utilized for duties like material handling, inventory management, and patient care in sectors including manufacturing, logistics, and healthcare. Their independence boosts productivity, lowers personnel expenses, and increases security in intricate settings.

#autonomous mobile robot demand #autonomous mobile robot share #autonomous mobile robot trend #autonomous mobile robot size

0 notes

robertemma27-blog · 3 months ago

Text

Autonomous Mobile Robots Market to Witness Significant Growth, Driven by Diverse Payload Capacities

The global Autonomous Mobile Robots (AMR) market is expected to experience robust growth over the coming years, fueled by the increasing adoption of automation and the diverse payload capacities offered by these robots. According to recent market analysis, the AMR market is segmented by payload capacity into three key categories: <100 kg, 100-500 kg, and >500 kg. Each segment caters to specific industry needs, driving the market’s expansion and offering tailored solutions for a wide range of applications.

The global autonomous mobile robots market size is estimated to be valued USD 1.8 billion in 2023 and is anticipated to reach USD 4.1 billion by 2028, at a CAGR of 17.5% during the forecast period.

Download PDF Brochure:

https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=107280537

Market Overview

The Autonomous Mobile Robots market, segmented by payload capacity, is set to cater to varying industrial demands, from lightweight transportation to heavy-duty material handling. As businesses across industries continue to seek efficient automation solutions, the market for AMRs with varying payload capacities is poised for significant growth.

1. <100 kg Payload Capacity: Precision in Lightweight Applications

The segment for AMRs with a payload capacity of less than 100 kg is particularly important for industries that require the precise handling and transportation of small and lightweight items. These robots are commonly used in sectors such as electronics, healthcare, retail, and warehousing, where the safe and efficient movement of small goods is critical.

The agility and speed of AMRs in this payload category make them ideal for tasks such as picking and placing items, inventory management, and last-mile delivery. Their compact size and advanced navigation systems allow them to operate efficiently in confined spaces, making them a valuable asset in crowded environments like retail stores and hospitals.

2. 100-500 kg Payload Capacity: Versatility for Medium-Duty Operations

Autonomous mobile robots with a payload capacity ranging from 100 to 500 kg are the most versatile in the market, offering a balance between strength and agility. This segment is widely used across industries such as manufacturing, automotive, and logistics, where the transportation of medium-sized goods and components is required.

These robots are designed to handle a wide variety of tasks, including the movement of raw materials, work-in-progress items, and finished products within production lines and warehouses. The ability to automate these tasks helps businesses reduce labor costs, increase operational efficiency, and improve safety by minimizing human intervention in repetitive or hazardous tasks.

The demand for AMRs in this payload category is expected to grow rapidly, driven by the need for flexible and scalable automation solutions that can adapt to varying production volumes and warehouse requirements.

3. >500 kg Payload Capacity: Powerhouse for Heavy-Duty Material Handling

AMRs with a payload capacity of over 500 kg are designed for heavy-duty applications, capable of transporting large and heavy loads across industrial environments. These robots are particularly valuable in sectors such as heavy manufacturing, aerospace, and construction, where the efficient movement of bulky materials and components is crucial.

The robustness and reliability of these high-capacity AMRs make them ideal for automating the transportation of heavy goods, reducing the need for forklifts and other traditional material handling equipment. By automating these tasks, businesses can enhance productivity, reduce workplace injuries, and optimize space utilization.

As industries continue to scale up their operations, the demand for AMRs in this segment is expected to rise, offering a powerful solution for the automated handling of heavy materials.

Market Outlook

The Autonomous Mobile Robots market is poised for substantial growth across all payload capacity segments, driven by the increasing demand for automation in various industries. The diverse payload capacities offered by AMRs enable businesses to select the most suitable robots for their specific operational needs, ensuring maximum efficiency and productivity.

#Autonomous Mobile Robots Market

0 notes

gellymark-blog · 2 months ago

Text

At McMurray Stern, they offer cutting-edge Autonomous Mobile Robots in California, designed to enhance warehouse operations. Their Haipick robot solutions are at the forefront of technological advancements, reshaping how goods are transported and managed. Paired with High-Density Storage solutions, their systems optimize space and increase efficiency. As a high-density storage provider option, they strive to save you money and time. They are committed to helping you get the most out of the space you already have. Discover how their solutions in California can transform your facility.

#autonomousmobilerobots #storagelockers #warehouseautomationsolutions #automatedstorageandretrievalsystem #warehouseautomation #customstoragesolutions #verticalliftmodules #automatedwarehouse #highdensitystorage #customshelving #mobileshelving #california

Facebook: https://www.facebook.com/McMurrayStern/

Twitter: https://twitter.com/McMurrayStern/

Linkden: https://www.linkedin.com/company/mcmurray-stern/%20 Instagram: https://www.instagram.com/mcmurraystern/

GBP: https://goo.gl/maps/4Mk2oRYkJ7WxyPmN6

Address: 15511 Carmenita Rd, Santa Fe Springs, CA 90670, United States

Email ID: [email protected]

Visit us: http://mcmurraystern.com/

#Autonomous-mobile-robots #Storage-lockers #Warehouse-automation-solutions #Automated-storage-and-retrieval-system #Warehouseau-tomation #Custom-storage-solutions

0 notes

ps1396262 · 3 months ago

Text

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.

Read More about Sample Report: https://www.intentmarketresearch.com/request-sample/autonomous-mobile-robots-amrs-market-3605.html

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.

Ask for Customization Report: https://www.intentmarketresearch.com/ask-for-customization/autonomous-mobile-robots-amrs-market-3605.html

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.

#Autonomous Mobile Robots #Autonomous Mobile Robots Size #Autonomous Mobile Robots Growth #Autonomous Mobile Robots Demand

0 notes

nidhi0 · 5 months ago

Text

GLOBAL AUTONOMOUS MOBILE MANIPULATOR ROBOTS (AMMR) MARKET FORECAST 2024-2032

According to Inkwood Research, the Global Autonomous Mobile Manipulator Robots (AMMR) Market is estimated to project a CAGR of 23.42% in terms of revenue during the forecasting years of 2024-2032.

VIEW TABLE OF CONTENTS: https://inkwoodresearch.com/reports/autonomous-mobile-manipulator-robots-market/#table-of-contents

Autonomous Mobile Manipulator Robots (AMMR) represent a significant leap in robotics, combining the mobility of autonomous mobile robots (AMR) with the dexterity of robotic manipulators. These advanced systems are revolutionizing various industrial sectors by enhancing productivity, efficiency, and safety.

In the industrial landscape, AMMRs are primarily employed in manufacturing, warehousing, and logistics. Their ability to navigate complex environments and perform intricate tasks makes them indispensable in modern factories. AMMRs can autonomously move materials, assemble components, and even perform quality control checks, reducing the need for human intervention in hazardous or repetitive tasks.

REQUEST FREE SAMPLE: https://inkwoodresearch.com/reports/autonomous-mobile-manipulator-robots-market/#request-free-sample

Key Growth Driver: Advancements in Robotics and AI

AI algorithms and machine learning techniques empower AMMRs to learn from data, identify patterns, make decisions, and solve complex problems autonomously. In healthcare, these algorithms analyze medical data to aid in disease diagnosis and treatment planning. In manufacturing, they enable AMMRs to perform complex tasks like assembling intricate components, conducting quality control inspections, and operating in hazardous environments with precision and speed.

Computer vision, a branch of AI, applies machine learning to images and videos, allowing AMMRs to recognize and interpret objects, people, and gestures for sophisticated interaction with their surroundings. For example, a London-based emotion AI startup used computer vision to analyze facial expressions through cameras, helping brands like Coca-Cola and AT&T evaluate commercial effectiveness based on viewer emotions.

The rapid advancements in AI technology, including sensor technologies, machine learning, and computer vision, have significantly enhanced AMMRs' capabilities, making them highly effective and versatile across various industries.

Fastest-Growing End-User: Electronics and Semiconductors

In the electronics and semiconductor industry, Autonomous Mobile Manipulator Robots (AMMR) are utilized for assembly, dispensing, material removal, and packaging. Robotics have always been crucial in these sectors for executing complex assemblies with high precision. AMMRs specifically handle tasks such as quality inspection, stress testing, product packaging, palletizing, painting, arranging, and testing. As the electronics industry evolves, there is an increasing demand for advanced AMMRs capable of managing more critical operations in electronics manufacturing.

Prominent Geography: Asia-Pacific

In Asia-Pacific, where manufacturing plays a critical role in the economy, AMMRs are streamlining processes such as material handling, assembly, and quality control. This leads to higher efficiency, lower operational costs, and improved safety standards in factories and warehouses.

Healthcare in Asia-Pacific is also benefiting from the deployment of AMMRs. These robots assist in transporting medical supplies, pharmaceuticals, and equipment within hospitals, allowing healthcare workers to focus more on patient care. With their precise manipulation capabilities, AMMRs are utilized in tasks such as medication delivery and sample collection, ensuring accuracy and minimizing the risk of errors.

Request for Customization: https://inkwoodresearch.com/request-for-custom-report/

About Inkwood Research

Inkwood Research specializes in syndicated & customized research reports and consulting services. Market intelligence studies with relevant fact-based research are customized across industry verticals such as technology, automotive, chemicals, materials, healthcare, and energy, with an objective comprehension that acknowledges the business environments. Our geographical analysis comprises North & South America, CEE, CIS, the Middle East, Europe, Asia, and Africa.

https://www.inkwoodresearch.com

[email protected]

1-(857)293-0150

Related Reports:

GLOBAL AGRICULTURAL ROBOTS MARKET: https://inkwoodresearch.com/reports/agricultural-robots-market/

GLOBAL AUTONOMOUS MOBILE ROBOTS (AMR) MARKET: https://inkwoodresearch.com/reports/autonomous-mobile-robots-market/

GLOBAL AUTONOMOUS VEHICLE MARKET: https://inkwoodresearch.com/reports/autonomous-vehicle-market/

#autonomous mobile manipulator robots #ammr #automation #robotics #inkwood research #market research trends

1 note · View note

jcmarchi · 2 months ago

Text

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.

0 notes