HyQ and Aliengo Robot Simulation Data
收藏arXiv2025-09-30 收录
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https://www.dropbox.com/s/794ayhrzayggoe4/tro20abdallah.webm
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资源简介：
该数据集展示了在多种挑战性场景下，改进后的可行区域规划在HyQ和Aliengo机器人上的性能表现。实验场景包括在倾斜地形上穿越和狭窄空间中蹲伏等，重点关注外部力和运动学限制对机器人运动的影响。该任务旨在研究腿部运动规划和轨迹优化。
This dataset presents the performance of the improved feasible region planning on HyQ and Aliengo legged robots across various challenging scenarios. The experimental scenarios include traversal on sloped terrain and crouching in confined narrow spaces, focusing on the impact of external forces and kinematic constraints on robot locomotion. This study aims to investigate legged motion planning and trajectory optimization.
