NVIDIA AI Podcast
How Two Stanford Students Are Building Robots for Handling Household Chores - Ep. 224
May 27, 2024
Stanford Ph.D. students Li and Wong discuss their project BEHAVIOR-1K, training robots for household chores using NVIDIA Omniverse. They cover challenges in programming robots for cooking and the importance of simulated environments in robot development.
30:40
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Quick takeaways
- Researchers at Stanford are developing robots to perform 1,000 household chores using simulation platforms and reinforcement learning techniques.
- Teaching robots complex tasks like cooking requires a balance between theoretical planning and real-world execution for effective performance.
Deep dives
Simulating a Thousand Everyday Tasks for Robots
Researchers Eric Lee and Josiah David Wong from Stanford discuss their work on training robots to perform a thousand household tasks. They have developed a simulation platform called Omni Gibson and a project named Behavior 1K, which aims to establish a common benchmark for testing robot capabilities in human-centered tasks. By gathering input from thousands of people about desired robot tasks, they strive to make robots more useful and relevant in daily life.
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