This Week in Startups Next Unicorns: Empowering robots to think for themselves via AI with Covariant’s Peter Chen | E1796
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Aug 23, 2023 Peter Chen, CEO and co-founder of Covariant and former OpenAI researcher, dives into the revolutionary potential of AI in robotics. He discusses how reinforcement learning is key to enabling robots to learn and adapt in dynamic environments, far beyond simple tasks. Chen also explores the balance between robotic arm functionality and adaptability, tackles the challenges of data collection for AI training, and shares insights on the promising future of humanoid robots in various industries.
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AI's Role in Robotics
- AI's role in robotics is not to improve repetitive tasks, but to enable robots to handle dynamic and diverse situations.
- This opens up new possibilities for robotics in areas like e-commerce warehouses, where variability is high.
Robotics AI Development Stage
- AI for robotics is currently at the Atari moment, algorithmically speaking, even surpassing it.
- The key limitation is not algorithms or compute power, but the availability of diverse robotics data.
AlphaGo Example
- AlphaGo's success was partly due to training on over 100 years of Go playing experience.
- This highlights the importance of data in AI, especially in complex scenarios.