
Thursday Nights in AI
Episode 16: The Future of AI and Robotics with Medra CEO Michelle Lee
Apr 23, 2024
Michelle Lee, CEO of Medra, discusses the future of AI, robotics, and computer vision in laboratory automation. The podcast explores achieving autonomy in robotics, transitioning from academia to biotech automation, foundation models in robotics applications, challenges of level four autonomy in self-driving cars, and current limitations of language models in robotics.
38:38
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Quick takeaways
- The future of robotics aims at achieving autonomy by integrating cutting-edge research into real-world applications at Medra.
- Robotic learning from demonstration eliminates the need for specialized rewards programming and enables efficient task learning.
Deep dives
Exciting Advances in Robotics
Recent advances in robotics, such as robots building cars, autonomous driving, and robots assisting with deliveries in Amazon warehouses, are causes for excitement. However, there remains a gap between specialized automation and the dream of general autonomy in robotics. The focus shifts towards achieving autonomy through the integration of cutting-edge research into real-world applications at Medra.
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