Getting the ball rolling: Learning a dexterous policy for a biomimetic tendon-driven hand with rolling contact joints
Biomimetic, dexterous robotic hands have the potential to replicate much of the tasks that a
human can do, and to achieve status as a general manipulation platform. Recent advances …
human can do, and to achieve status as a general manipulation platform. Recent advances …
Dataset Clustering for Improved Offline Policy Learning
Q Wang, Y Deng, FR Sanchez, K Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Offline policy learning aims to discover decision-making policies from previously-collected
datasets without additional online interactions with the environment. As the training dataset …
datasets without additional online interactions with the environment. As the training dataset …
When Models Meet Data: Pragmatic Robot Learning with Model-based Optimization
M Bhardwaj - 2024 - digital.lib.washington.edu
Autonomous robots operating in complex and dynamic real-world scenarios must exhibit fast
and reactive behaviors to adapt to environment changes, and learn to improve their …
and reactive behaviors to adapt to environment changes, and learn to improve their …