CoRL 2026 paper: robot morphology should be routed through learned dynamics, not fed to policy
breadli428 · x · 2026-10-10
A collaboration spanning McGill, Mila, Université de Montréal, and ETH has a paper accepted to CoRL 2026, to be presented in Austin, Texas.
Key conclusion: a robot's morphology should be routed through learned dynamics rather than fed directly into the policy network. The work was led by Mohamad Danesh with Chenhao Li, Amin Abyaneh, Anas Houssaini, Kirsty Ellis, Glen Berseth, Marco Hutter, and Hsiu-Chin Lin.
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