Reinforcement learning produces a single unified controller that lets an actively suspended planetary rover autonomously cross heterogeneous rough terrains after sim training and zero-shot hardware transfer.
Dshell-DARTS: A Reusability-Focused Multi-Mission Aerospace and Robotics Simulation Toolkit,
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Learning All-Terrain Locomotion for a Planetary Rover with Actively Articulated Suspension
Reinforcement learning produces a single unified controller that lets an actively suspended planetary rover autonomously cross heterogeneous rough terrains after sim training and zero-shot hardware transfer.