Rock Climbing Benchmark for Humanoid Robots

Jacky Baltes, Saeed Saeedvand

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we present the humanoid robot rock climbing competition as a benchmark problem for complex motion planning under kinematic and dynamic constraints. We also describe an advanced algorithm for motion planning in this domain. The algorithm finds stable configurations where three limbs are anchored to the wall and the fourth limb is moving. We suggest possible search techniques to find a sequence through these control funnels to find a path to the top of the climbing wall.

原文英語
主出版物標題2022 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2022
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665487184
DOIs
出版狀態已發佈 - 2022
事件2022 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2022 - Taipei, 臺灣
持續時間: 2022 8月 242022 8月 27

出版系列

名字International Conference on Advanced Robotics and Intelligent Systems, ARIS
2022-August
ISSN(列印)2374-3255
ISSN(電子)2572-6919

會議

會議2022 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2022
國家/地區臺灣
城市Taipei
期間2022/08/242022/08/27

ASJC Scopus subject areas

  • 控制與系統工程
  • 人工智慧

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