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Author(s) and maintainer(s): Space Robotics Lab. Climbing Robotics Team
The climbing simulator is being developed by the Climbing Robotics Team in Space Robotics Laboratory at Tohoku University, Japan.
The source code is released under a BSD 3-Clause license.
This simulator wraps up functions for:
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| 1) Standard gait on uneven terrain | 2) Optimal foothold selection on descrete grippable points [1] |
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| 3) Stability region visualization [2] | 4) Topographically salient region detection and non-periodic foothold selection [3] |
If you use this simulator in an academic context, please cite the following publication.
K. Uno, W. F. R. Ribeiro, Y. Koizumi, K. Haji, K. Kurihara, W. Jones, and K. Yoshida "ClimbLab: MATLAB Simulation Platform for Legged Climbing Robotics", Proceedings of the 24th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR), 2021.
@inproceedings{uno2021climblab,
title={ClimbLab: MATLAB Simulation Platform for Legged Climbing Robotics},
author={Kentaro Uno and Warley F. R. Ribeiro and Yusuke Koizumi and Keigo Haji and Koki Kurihara and William Jones and Kazuya Yoshida},
booktitle={Proceedings of the 24th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR)},
pages={TBD},
year={2021}
}
We confirmed the code is working with:
Our recent works using ClimbLab simulator are as follows:
[1] Kentaro Uno et al., "Gait Planning for a Free-Climbing Robot Based on Tumble Stability", Proceedings of the 2019 IEEE/SICE International Symposium on System Integration (SII), Paris, France, 2019, pp. 289-294, doi: 10.1109/SII.2019.8700455.
[2] Warley F. R. Ribeiro et al., "Dynamic Equilibrium of Climbing Robots based on Stability Polyhedron for Gravito-Inertial Acceleration", Proceedings of the 23rd International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Moscow, Russian Federation, 2020, pp. 297-304, doi: 10.13180/clawar.2020.24-26.08.18.
[3] Kentaro Uno et al., "Non-Periodic Gait Planning Based on Salient Region Detection for a Planetary Cave Exploration Robot", Proceedings of the International Symposium on Artificial Intelligence, Robotics and Automation in Space, remote conference, 2020, No. 5027.
Please contact us by sending an email to the following address if there is any question or suggestion.
srl-limb[at]grp.tohoku.ac.jp
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