Implicit kinematic policies: Unifying joint and cartesian action spaces in end-to-end robot learning

A Ganapathi, P Florence, J Varley… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Action representation is an important yet often overlooked aspect in end-to-end robot
learning with deep networks. Choosing one action space over another (eg target joint …
被引用次数：15 相关文章

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning

A Ganapathi, P Florence, J Varley, K Burns… - arXiv preprint arXiv …, 2022 - arxiv.org
Action representation is an important yet often overlooked aspect in end-to-end robot
learning with deep networks. Choosing one action space over another (eg target joint …

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning

A Ganapathi, P Florence, J Varley, K Burns… - 2022 IEEE International …, 2022 - dl.acm.org
Action representation is an important yet often overlooked aspect in end-to-end robot
learning with deep networks. Choosing one action space over another (eg target joint …

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning

A Ganapathi, P Florence, J Varley, K Burns, K Goldberg… - research.google
Action representation is an important yet often overlooked aspect in end-to-end robot
learning with deep networks. Choosing one action space over another (eg target joint …

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning

A Ganapathi, P Florence, J Varley, K Burns… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Action representation is an important yet often overlooked aspect in end-to-end robot
learning with deep networks. Choosing one action space over another (eg target joint …

Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning

A Ganapathi, P Florence, J Varley, K Burns, A Zeng… - research.google
Action representation is an important yet often overlooked aspect in end-to-end robot
learning with deep networks. Choosing one action space over another (eg target joint …