Chapter
Hard corner cases in manipulation and loading dishwasher with robots
Researchers are exploring the hard corner cases in manipulation and using problems like loading the dishwasher to study those scenarios. Their goal is to develop algorithms to create a commercial product that can perform the task with confidence for any dish in anyone's kitchen.
Clips
Toyota Research Institute is investing heavily in simulation technology through their TRI Robotics effort in the hopes of creating a robot that can perform complex tasks, such as loading and unloading a dishwasher, with enough confidence to become a commercial product.
1:51:25 - 1:53:43 (02:17)
Summary
Toyota Research Institute is investing heavily in simulation technology through their TRI Robotics effort in the hopes of creating a robot that can perform complex tasks, such as loading and unloading a dishwasher, with enough confidence to become a commercial product. The team is led by Michael Sherman, a top expert in robotics dynamics.
ChapterHard corner cases in manipulation and loading dishwasher with robots
Episode#114 – Russ Tedrake: Underactuated Robotics, Control, Dynamics and Touch
PodcastLex Fridman Podcast
Deploying complex robotics systems requires a rigorous engineering discipline for proper validation and testing to achieve confidence in its deployment.
1:53:43 - 1:55:10 (01:26)
Summary
Deploying complex robotics systems requires a rigorous engineering discipline for proper validation and testing to achieve confidence in its deployment. The challenge lies in understanding how to capture and study failures and make sure they do not occur again.
ChapterHard corner cases in manipulation and loading dishwasher with robots
Episode#114 – Russ Tedrake: Underactuated Robotics, Control, Dynamics and Touch
PodcastLex Fridman Podcast
Matt O'Kelley and Amansina have developed falsification algorithms that discover corner cases efficiently by trying to do rare event simulation and hammering on the simulator, allowing to reduce uncertainties in the system.
1:55:10 - 1:58:06 (02:55)
Summary
Matt O'Kelley and Amansina have developed falsification algorithms that discover corner cases efficiently by trying to do rare event simulation and hammering on the simulator, allowing to reduce uncertainties in the system.