2023年1月25日 · This work proposes a novel quadrupedal locomotion learning framework that allows quadrupedal robots to walk through challenging terrains, even with limited sensing …

This repo contains implementation of the paper Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning. This repo requires the following …

Quadrupedal robots hold promising potential for applications in navigating cluttered environments with resilience akin to their animal counterparts. However, their floating base configuration …

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Recently, deep reinforcement learning, inspired by how legged animals learn to walk from their experiences, has been utilized to synthe-size natural quadrupedal locomotion. However, state …

DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning Abstract: Quadrupedal robots resemble the physical ability of …

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In this work, we introduced DreamWaQ, a robust quadrupedal locomotion framework that enables quadrupedal robots to traverse unstructured terrains by relying solely on proprioception. …

2023年1月25日 · This work proposes a novel quadrupedal locomotion learning framework that allows quadru pedal robots to walk through challenging terrains, even with limited sensing …

2023年11月13日 · 论文： DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning 链接： https:// arxiv.org/pdf/2301.1060 …