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Found 2 papers, 1 papers with code
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning
To address the inefficiency of tracking distant navigation goals, we introduce a hierarchical locomotion controller that combines a classical planner tasked with planning waypoints to reach a faraway global goal location, and an RL-based policy trained to follow these waypoints by generating low-level motion commands.
A Study on Learning Social Robot Navigation with Multimodal Perception
Autonomous mobile robots need to perceive the environments with their onboard sensors (e. g., LiDARs and RGB cameras) and then make appropriate navigation decisions.
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