Tag: Physical AI

  • Humanoid future: Arjun Dutt at Bain on the coming waves of robots

    Humanoid future: Arjun Dutt at Bain on the coming waves of robots

    In this episode, we explore the rapidly evolving world of physical intelligence with Arjun Dutt, a Partner at Bain & Company and former entrepreneur. As generative AI transitions from digital interfaces into the physical world, Arjun explains why humanoid robots are emerging as a solution to the worsening labour shortages, especially in the so-called ‘brownfield’ plants in many advanced economies.

    We dive into Bain’s four-point definition of humanoids — adaptive intelligence, spatial perception, bipedal dexterity, and sustained power — and talk about how the current battery technologies remain the “long pole in the tent” for true autonomy.

    Arjun outlines the three waves of adoption that are discussed in a recent note that he co-authored, predicting that while industrial brownfield settings will see scale within three to five years, consumer-centric home robots are at least a decade away.

    You will also find interesting insights on the following topics: The role of generative AI as a “foundational capability,” allowing robots to learn via observation and training data rather than rigid, scenario-based programming; the evolution of specific task-oriented robots versus truly general-purpose humanoids; and where might the eventual “control points” lie, as Arjun put it, of humanoid robots – meaning, who’ll control the most critical technologies in these robots?

    Lastly, we touched upon his advice for India’s deep tech entrepreneurs, discussing the merits of “going narrow” and how to navigate the reliability and regulatory hurdles of the US market.

  • Coming up: Arjun Dutt at Bain on the three waves of adoption of humanoid robots — from factories to homes

    Coming up: Arjun Dutt at Bain on the three waves of adoption of humanoid robots — from factories to homes

    Coming up on India Tech Report, we dive into the future of physical intelligence with Arjun Dutt, Partner at Bain & Company. Arjun explains how, aided by both physical tech breakthroughs and generative AI moving beyond the screen and into the physical world, humanoid robots are on the cusp of becoming a likely solution to global labor shortages – one of the big applications driving the multi-billion-dollar investments into this form factor.

    We explore Bain’s four-pillar definition of a humanoid — intelligence, perception, dexterity, and sustained power — and why current battery technology remains the “long pole in the tent” for true autonomy.

    Arjun breaks down the “three waves of adoption” of humanoids that he and his colleagues Xin Cheng, Anne Hoecker and Peter Hanbury outlined in a recent note: starting with industrial brownfield settings – massive sunk investments with infrastructure built around how humans work – in the next three to five years, moving to mining and construction by 2030, and finally reaching consumers’ homes as early as within a decade.

    For the builders out there, Arjun draws on his own entrepreneurial roots to offer his insights for Indian robotics startups navigating the global stage. Should you build the full stack or “go narrow”? How do you scale manufacturing and reliability for the US market? From the state of the art in robot training to the regulatory hurdles ahead, this is a quick look at the race to build a general-purpose worker.

    Catch the full conversation on Tuesday, March 17th right here, or wherever you get your podcasts. Here’s a 90-second preview with Arjun explaining the connection between generative AI and robotics.

  • Gokul NA on training robots to learn like infants: CynLr’s Object Intelligence Stack

    Gokul NA on training robots to learn like infants: CynLr’s Object Intelligence Stack

    In today’s episode, we dive into the future of robotics with Gokul NA, founder of CynLr, or Cybernetics Laboratory, perhaps one of India’s most advanced companies in this field.

    CynLr is headquartered in Bengaluru, with an advanced R&D Lab in Switzerland and a growing customer-facing operation in the US, where Gokul’s fellow founder Nikhil Ramaswamy is based.

    The entrepreneur duo and its 85-member team are tackling a challenge that scientists and engineers have been working on for several decades: the ability for robots to intuitively handle unfamiliar objects without custom programming or prior training.

    In this conversation, Gokul explains their new “Object Intelligence Stack,” a system designed to imitate some of the functions related how a human brain might learn — much like a baby impulsively grasping a new toy without knowing its name or purpose.

    By collaborating with the Centre for Neuroscience at the Indian Institute of Science, CynLr is translating brain-function research into a sophisticated software and sensor framework. Shifting the focus from algorithms that work on data to the “physics of objects,” CynLr’s intelligence stack is what Gokul describes as the precursor to a “manipulation OS.”

    Drawing parallels to Apple in the 1980s, Gokul shares his vision for a future of “object computers” and micro-factories – important components of CynLr’s vision for global manufacturing, where instead of Giga-factories, we might have fabrication facilities as small as a car dealership or even a garage.


    Chapters

    (00:00) Challenges of building a deep tech organization in an absent industry

    (05:58) Imitating the human brain’s ability to handle unfamiliar objects

    (09:18) Partnering with neuroscience researchers to replicate human intuition

    (11:32) Developing a manipulation operating system and the future object store

    (19:47) Automating assembly for automotive and semiconductor manufacturing

    (25:17) Transitioning from rigid gigafactories to software-defined micro-factories

    (35:49) Fostering a deep tech ecosystem to address the brain drain

    (40:18) Strategic funding goals and the technical roadmap for scaling


    Gokul and Nikhil are backed by investors including Speciale Invest, growX ventures, Pavestone VC, Athera Venture Partners (formerly Inventus India), Anicut Capital, Arali Ventures, Redstart Labs, and several other institutional and angel investors.

    CynLr’s long-term vision also involves creating a manipulation operating system and an “object store” and a “task store” to transform flexible manufacturing, just as the App Store transformed the smartphone.

    Currently, they are deploying these solutions in the automotive and semiconductor industries to automate some complex manual assembly processes.

    In this conversation, Gokul also talks about some of the challenges of building a company like CynLr in India, where many important ingredients are missing, and what he thinks the industry can do to change that.

  • Gokul NA at CynLr on a ‘manipulation OS’ for robots

    Gokul NA at CynLr on a ‘manipulation OS’ for robots

    Coming up, a conversation with Gokul NA, founder and head of product, design & brand at CynLr (Cybernetics Laboratories), a robotics startup in Bengaluru.

    Gokul, his fellow founder Nikhil Ramaswamy, and their team at CynLr, have recently released what he described as an Object Intelligence Stack. The technology aims to mimic the curiosity and adaptability of a human infant, allowing robots to manipulate unfamiliar items without specific prior training.

    By collaborating with the Centre for Neuroscience at the Indian Institute of Science, CynLr is translating brain-function research into a sophisticated software and sensor framework. Their long-term vision involves creating a manipulation operating system and an “object store” and a “task store” to transform flexible manufacturing, just as the App Store transformed the smartphone.

    Currently, they are deploying these solutions in the automotive and semiconductor industries to automate some complex manual assembly processes. You can catch the full conversation on Friday, March 6 right here or wherever you get your podcasts.

    Here’s a one-minute preview with Gokul envisioning a future “manipulation OS” for robots of which the object intelligence stack is the precursor.

  • Gokul NA at CynLr on bringing ‘object intelligence’ to robots

    Gokul NA at CynLr on bringing ‘object intelligence’ to robots

    Coming up, a conversation with Gokul NA, founder and head of product, design & brand at CynLr (Cybernetics Laboratory), a robotics startup in Bengaluru.

    Gokul, his fellow founder Nikhil Ramaswamy, and their team at CynLr, have recently released what he described as an Object Intelligence Stack. The technology aims to mimic the curiosity and adaptability of a human infant, allowing robots to manipulate unfamiliar items without specific prior training.

    By collaborating with the Centre for Neuroscience at the Indian Institute of Science, CynLr is translating brain-function research into a sophisticated software and sensor framework. Their long-term vision involves creating a manipulation operating system and an “object store” and a “task store” to transform flexible manufacturing, just as the App Store transformed the smartphone.

    Currently, they are deploying these solutions in the automotive and semiconductor industries to automate some complex manual assembly processes. You can catch the full conversation on Friday, March 6 right here or wherever you get your podcasts.

    Here’s a 90-second preview with Gokul giving a brief description of the object intelligence stack.

  • ViewPoint: Perceptyne’s founders explain the reality of robots and assembly line automation today

    ViewPoint: Perceptyne’s founders explain the reality of robots and assembly line automation today

    Founders of Perceptyne Robots, Mrutyunjaya N, Raviteja Chivukala and Jagga Raju N are building autonomous, dexterous robots and the physical AI stack needed.
    Founders of Perceptyne Robots, Mrutyunjaya N, Raviteja Chivukala and Jagga Raju N are building autonomous, dexterous robots and the physical AI stack needed.
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    What are some of the practical, seemingly small but truly challenging engineering problems in translating what seems intuitive to humans to robotics automation, today?

    Mrutyunjaya N, Raviteja Chivukala and Jagga Raju N, founders of Perceptyne Robots, explain here in simple terms in just a few minutes.