Parameters auto-tuning for biped robots in whole-body stabilization and active impedance control applications
Author:
Funder
Natural Science Foundation of Shaanxi Province
Science and Technology Support Program of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03792-x.pdf
Reference36 articles.
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2. Stephens BJ, Atkeson CG (2010) Push Recovery by stepping for humanoid robots with force controlled joints. In: 2010 10th IEEE-RAS international conference on humanoid robots, IEEE, Nashville, TN, USA, pp 52–59. https://doi.org/10.1109/ICHR.2010.5686288. http://ieeexplore.ieee.org/document/5686288/ Accessed 2021-11-11
3. Dong S, Yuan Z, Yu X, Sadiq MT, Zhang J, Zhang F, Wang C (2020) Flexible model predictive control based on multivariable online adjustment mechanism for robust gait generation. International Journal of Advanced Robotic Systems 17(1):172988141988729. https://doi.org/10.1177/1729881419887291. Accessed 2020-05-20
4. Winkler AW, Bellicoso CD, Hutter M, Buchli J (2018) Gait and trajectory optimization for legged systems through phase-based end-effector parameterization. IEEE Robot Autom Lett 3(3):1560–1567. https://doi.org/10.1109/LRA.2018.2798285. Accessed 2021-11-11
5. Hosseinmemar A, Baltes J, Anderson J, Lau MC, Lun CF, Wang Z (2019) Closed-loop push recovery for inexpensive humanoid robots. Appl Intell 49(11):3801–3814. https://doi.org/10.1007/s10489-019-01446-zhttps://doi.org/10.1007/s10489-019-01446-z. Accessed 2021-11-11
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