Building the factories of the future with Covariant CEO Peter Chen
Building adaptive AI models that can learn and complete tasks in the physical world requires precision but these AI robots could completely change manufacturing and logistics processes. Peter Chen, the co-founder and CEO of Covariant, leads the team that is building robots that will increase manufacturing efficiency, safety, and create warehouses of the future.
Today on No Priors, Peter joins Sarah to talk about how the Covariant team is developing multimodal models that have precise grounding and understanding so they can adapt to solve problems in the physical world. They also discuss how they plan their roadmap at Covariant, what could be next for the company, and what use case will bring us to the Chat-GPT moment for AI robots.
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Show Notes:
(0:00) Peter Chen Background
(0:58) How robotics AI will drive AI forward
(3:00) Moving from research to a commercial company
(5:46) The argument for building incrementally
(8:13) Manufacturing robotics today
(12:21) Put wall use case
(15:45) What’s next for Covariant Brain
(18:42) Covariant’s customers
(19:50) Grounding concepts in Ai
(25:47) How scaling laws apply to Covariant
(29:21) Covariant’s driving thesis
(32:54) the Chat-GPT moment for robotics
(35:12) Manufacturing center of the future
(37:02) Safety in AI robotics
#159 Peter Chen: Building the AI-Driven Future of Robotics
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In episode #159 of Eye on AI, Craig Smith sits down with Peter Chen, the co-founder and CEO of Covariant, in a deep dive into the world of AI-driven robotics.
Peter shares his journey from his early days in China to his pivotal role in shaping the future of AI at Covariant. He discusses the philosophies that guided his work at OpenAI and how these have influenced Covariant's mission in robotics.
This episode unveils how Covariant is harnessing AI to build foundational models for robotics, discussing the intersection of reinforcement learning, generative models, and the broader implications for the field. Peter elaborates on the challenges and breakthroughs in developing AI agents that can operate in dynamic, real-world environments, providing insights into the future of robotics and AI integration.
Join us for this insightful conversation, where Peter Chen maps out the evolving landscape of AI in robotics, shedding light on how Covariant is pushing the boundaries of what's possible.
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(00:00) Preview and Introduction
(03:10) Peter Chen Journey in AI
(09:53) The Evolution of Generative AI and Transformer Models
(12:21) The Concept of World Models in AI
(14:03) Building Robust Role Models in AI
(20:48) Training AI: From Video Analysis to Real-World Interaction
(23:10) The Three Pillars of Building a Robotic Foundation Model
(27:36) Architectural Insights of Covariant's Foundation Model
(33:20) Adapting AI Models to Diverse Hardware
(35:01) The Future of Robotics: Progress and Potential
(38:55) Real-World Application and Future of AI-Controlled Robots
(42:11) Envisioning the Future of Automated Warehouses
(45:51) The Evolution of Robotics: Current Trends and Future Prospects
Next Unicorns: Empowering robots to think for themselves via AI with Covariant’s Peter Chen | E1796
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Today’s show:
Covariant CEO Peter Chen joins Jason to discuss the future of AI in robotics (1:33), the key concepts of reinforcement learning (13:50), and much more!
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Time stamps:
(0:00) Covariant CEO Peter Chen joins Jason
(1:33) AI’s role in robotics and its value in e-commerce warehouses
(7:38) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist
(8:59) Reinforcement learning today and the AlphaGo moment
(13:50) The 2 key concepts of reinforcement learning
(17:35) Approaches to accessing data for AI in robotics
(20:35) Robotics hardware
(22:50) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist
(23:57) Covariant's hardware and software in use
(27:32) The importance of adaptability
(32:40) LinkedIn Marketing - Get a $100 LinkedIn ad credit at https://linkedin.com/nextunicorn
(34:08) The Tesla Optimus and humanoid robots
(39:58) Overcoming hardware constraints
(44:38) Boomerang investors and customers
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Check out Covariant : https://covariant.ai/
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Peter Chen on building brains for robots in the real world
In episode seven of The Robot Brains Podcast, our guest is Covariant CEO and co-founder Peter Chen. Peter is one of Pieter Abbeel's closest collaborators for the past five years, with Peter having studied for his PhD in Pieter's lab in Berkley before then working together at OpenAI. Now they are co-founders of Covariant, which they started back in 2017 with Peter as the CEO. On this episode we explore the future of AI-powered robotics, looking at what happens when you teach industrial robots to "think" and "learn" from their environment. Host: Pieter Abbeel | Executive Producers: Ricardo Reyes & Henry Tobias Jones | Audio Production: Kieron Matthew Banerji | Title Music: Alejandro Del Pozo Hosted on Acast. See acast.com/privacy for more information.
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