Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Zhu, Qiuguo"'
Traversing risky terrains with sparse footholds presents significant challenges for legged robots, requiring precise foot placement in safe areas. Current learning-based methods often rely on implicit feature representations without supervising physi
Externí odkaz:
http://arxiv.org/abs/2409.15692
Parkour presents a highly challenging task for legged robots, requiring them to traverse various terrains with agile and smooth locomotion. This necessitates comprehensive understanding of both the robot's own state and the surrounding terrain, despi
Externí odkaz:
http://arxiv.org/abs/2408.13740
Accurate state estimation plays a critical role in ensuring the robust control of humanoid robots, particularly in the context of learning-based control policies for legged robots. However, there is a notable gap in analytical research concerning est
Externí odkaz:
http://arxiv.org/abs/2403.05868
Global localization plays a critical role in many robot applications. LiDAR-based global localization draws the community's focus with its robustness against illumination and seasonal changes. To further improve the localization under large viewpoint
Externí odkaz:
http://arxiv.org/abs/2210.05984
The ubiquitous planes and structural consistency are the most apparent features of indoor multi-story Buildings compared with outdoor environments. In this paper, we propose a tightly coupled LiDAR-Inertial 3D SLAM framework with plane features for t
Externí odkaz:
http://arxiv.org/abs/2202.08487
Publikováno v:
Science Robotics, Vol. 5, Issue 49, eabb2174 (2020)
Achieving versatile robot locomotion requires motor skills which can adapt to previously unseen situations. We propose a Multi-Expert Learning Architecture (MELA) that learns to generate adaptive skills from a group of representative expert skills. D
Externí odkaz:
http://arxiv.org/abs/2012.05810
Autonomous navigation has played an increasingly significant role in quadruped robot system. However, most existing works on quadruped robots navigation using traditional search-based or sample-based methods do not consider the kinodynamic characteri
Externí odkaz:
http://arxiv.org/abs/2011.00806
Publikováno v:
IET Cyber-Systems and Robotics 2022 4(4):331-338
Bounding is one of the important gaits in quadrupedal locomotion for negotiating obstacles. The authors proposed an effective approach that can learn robust bounding gaits more efficiently despite its large variation in dynamic body movements. The au
Externí odkaz:
http://arxiv.org/abs/2011.00446
Publikováno v:
In Biomimetic Intelligence and Robotics September 2023 3(3)
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