Episode 16: The Future of AI and Robotics with Medra CEO Michelle Lee
Apr 23, 2024
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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.
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.
Components Needed for Autonomy in Robotics
Distinction is drawn between automation, involving specialized robots programmed for specific tasks, and autonomy, envisioning general-purpose robots capable of diverse tasks independently. The missing link is attributed to artificial intelligence (AI), specifically through three crucial components: feedback loops (perception-action loop), learning from experts, and understanding language for planning complex tasks.
Robotic Learning from Demonstration
New methodologies in robotic learning from demonstration are explored, showcasing the ability to teach robots tasks through demonstrations and imitation learning. This approach, exemplified by Stanford's research, eliminates the need for specialized rewards programming and enables robots to learn complex tasks efficiently. Language instructions and symbolic language are also highlighted as effective means for planning and task execution.
Automation in Biology: Opportunities and Challenges
The shift towards automating biology, driven by the potential for significant impact in scaling biological research, is discussed. Automation in biology is identified as data and labor-limited, presenting a challenge that robotics is well-suited to address. The integration of robotics and automation in biology promises to revolutionize the field, addressing data limitations and enhancing efficiency in biological experimentation and research.
At this Thursday Nights in AI, hosts Ali Rohde and Josh Albrecht discussed the future of robotics and computer vision, and the role of AI in the space. Special thanks to Respell for hosting us in their wonderful office!
Michelle is the CEO and founder of Medra. Medra is at the forefront of laboratory automation, leveraging state-of-the-art robotics and computer vision technologies to streamline wet lab tasks. The company is backed by top investors including Nat Friedman, Lux, Neo, and Outset Capital.
Before Medra, Michelle earned her PhD at the Stanford AI Lab, and interned at McKinsey, SpaceX, and NVIDIA.
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About Outset Capital: Outset Capital is led by Ali Rohde, Kanjun Qiu, and Josh Albrecht — AI practitioners investing in AI, deeptech, and the future of work. We back companies at the outset and love to be the first check in.
About Imbue: Imbue is an AI research company aiming to rekindle the dream of the personal computer—by creating practical AI agents that can accomplish larger goals and safely work for us in the real world. They are hiring! https://imbue.com/careers
About WndrCo: Founded in 2016 by Sujay Jaswa, Jeffrey Katzenberg, and ChenLi Wang, WndrCo builds & invests in companies whose products are revolutionizing how people live and work. WndrCo's investments include 1Password, Aura, Databricks, Figma, Material Security, and Pilot. https://bit.ly/tnai-wndrco
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Ali Rohde: https://x.com/RohdeAli
Josh Albrecht: https://x.com/joshalbrecht
Michelle Lee: https://x.com/michellearning
Outset Capital: https://x.com/outsetcap
Imbue: https://x.com/imbue_ai
Wndrco: https://x.com/WndrCoLLC
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