Robotics Action Spaces
Exploring the implications of large action spaces in robotics, Ashley discusses how increasing the number of latent actions can enhance model fidelity. However, mapping these actions to real-world applications presents challenges, particularly when considering the continuous nature of robotics. The conversation also touches on the potential of foundation models in robotics, emphasizing the need for diverse data sources and the inclusion of sensor data to capture critical interactions like haptics.In this clip
From this podcast

Machine Learning Street Talk (MLST)
Ashley Edwards - Genie Paper (DeepMind/Runway)
Related Questions
How important is data in robotics, specifically in the context of the episode "Reverse-engineering autonomy in humanoid robots with Sanctuary AI CEO Geordie Rose | E1832" and the clip "Future Robotics Development"?
How important is data in robotics, specifically in the context of the episode Reverse-engineering autonomy in humanoid robots with Sanctuary AI CEO Geordie Rose | E1832 and the clip Future Robotics Development?