Technical University of Munich
“This paper solves a critical deployment gap for legged robots — RL locomotion policies trained without safety constraints will eventually step on or collide with real-world objects, and this paper proposes a practical, modular filter that intercepts and corrects unsafe footstep plans in real-time without retraining the underlying policy.”
Source→“This work was partially supported by the Huawei-TUM joint laboratory and funded in part by SIEMENS AG together with the Technical University of Munich.”
Source→“This work was partially supported by the Huawei-TUM joint laboratory and funded in part by SIEMENS AG together with the Technical University of Munich.”
Source→“The contact-conditioned policy framework referenced throughout as [25] is 'Omar and Khadiv (2026), Learning to act through contact: a unified view of multi-task robot learning.'”
Source→“Aaron Johnson — CMU robotics faculty with cross-institutional appointment at TU Munich's IAS. CMU's robotics program has strong industry pipeline to Boston Dynamics, Agility Robotics, and the Pittsburgh robotics corridor.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.