Marco Pavone(@drmapavone):How do we make RL-powered humanoid robots safe without sacrificing performance? In our latest #CoRL2026 paper, Constrained Whole-Body Tracking for Humanoid Robots, we introduce safety filters that enforce kinematic and dynamic constraints—even those never encountered during training. The approach minimally interferes with the underlying RL policy and requires *no retraining*. At CoRL in Austin? Come meet @danielpmorton at Poster Session 2, Tuesday evening, #204! Project: https://t.co/PdgGySAjvi Paper: https://t.co/UeeYyu7BtH Work led by @danielpmorton, in collaboration with Pranit Mohnot #HumanoidRobotics #ReinforcementLearning #RobotLearning #PhysicalAISafety #Robotics @StanfordAILab @StanfordASL

2026.11.03 04:54

How do we make RL-powered humanoid robots safe without sacrificing performance? In our latest #CoRL2026# paper, Constrained Whole-Body Tracking for Humanoid Robots, we introduce safety filters that enforce kinematic and dynamic constraints—even those never encountered during training. The approach minimally interferes with the underlying RL policy and requires *no retraining*. At CoRL in Austin? Come meet @danielpmorton at Poster Session 2, Tuesday evening, #204#! Project: Paper: Work led by @danielpmorton, in collaboration with Pranit Mohnot #HumanoidRobotics# #ReinforcementLearning# #RobotLearning# #PhysicalAISafety# #Robotics# @StanfordAILab @StanfordASL

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