TY - GEN
T1 - Whole-Body Admittance Control of Anti-Saturation for Quadruped Manipulators with Impact Force Observer
AU - Lin, Fenghao
AU - Zhang, Tianlin
AU - Xiong, Xiaogang
AU - Lou, Yunjiang
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Quadruped manipulators require precise detection of external impact forces to ensure safe and compliant responses during environmental interactions. However, these systems often lack tactile sensors on their body surfaces or force/torque sensors at critical joints. This study introduces a whole-body admittance control framework for quadruped manipulators, utilizing a novel external impact force observer that estimates impact forces acting on the manipulator or the quadruped's base without relying on dedicated force sensors. The observer leverages the robustness of a super-twisting algorithm (STA) based on the momentum model of quadruped manipulators. Model uncertainties are mitigated using a low-pass filter (LPF) and compensated by ground reaction forces, significantly reducing estimation oscillations during dynamic gaits. By integrating these estimated impact forces, the whole-body admittance control framework enables compliant interactions with the environment and mitigates unsafe behaviors caused by torque saturation through a set-valued feedback loop that constrains command torques within actuation limits, including joint torque boundaries and friction cone constraints of the ground reaction force. Experimental validation across diverse scenarios confirms the effectiveness of this approach in facilitating safe and adaptive interactions between quadruped manipulators and external forces.
AB - Quadruped manipulators require precise detection of external impact forces to ensure safe and compliant responses during environmental interactions. However, these systems often lack tactile sensors on their body surfaces or force/torque sensors at critical joints. This study introduces a whole-body admittance control framework for quadruped manipulators, utilizing a novel external impact force observer that estimates impact forces acting on the manipulator or the quadruped's base without relying on dedicated force sensors. The observer leverages the robustness of a super-twisting algorithm (STA) based on the momentum model of quadruped manipulators. Model uncertainties are mitigated using a low-pass filter (LPF) and compensated by ground reaction forces, significantly reducing estimation oscillations during dynamic gaits. By integrating these estimated impact forces, the whole-body admittance control framework enables compliant interactions with the environment and mitigates unsafe behaviors caused by torque saturation through a set-valued feedback loop that constrains command torques within actuation limits, including joint torque boundaries and friction cone constraints of the ground reaction force. Experimental validation across diverse scenarios confirms the effectiveness of this approach in facilitating safe and adaptive interactions between quadruped manipulators and external forces.
UR - https://www.scopus.com/pages/publications/105029921702
U2 - 10.1109/IROS60139.2025.11247635
DO - 10.1109/IROS60139.2025.11247635
M3 - 会议稿件
AN - SCOPUS:105029921702
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 14226
EP - 14233
BT - IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings
A2 - Laugier, Christian
A2 - Renzaglia, Alessandro
A2 - Atanasov, Nikolay
A2 - Birchfield, Stan
A2 - Cielniak, Grzegorz
A2 - De Mattos, Leonardo
A2 - Fiorini, Laura
A2 - Giguere, Philippe
A2 - Hashimoto, Kenji
A2 - Ibanez-Guzman, Javier
A2 - Kamegawa, Tetsushi
A2 - Lee, Jinoh
A2 - Loianno, Giuseppe
A2 - Luck, Kevin
A2 - Maruyama, Hisataka
A2 - Martinet, Philippe
A2 - Moradi, Hadi
A2 - Nunes, Urbano
A2 - Pettre, Julien
A2 - Pretto, Alberto
A2 - Ranzani, Tommaso
A2 - Ronnau, Arne
A2 - Rossi, Silvia
A2 - Rouse, Elliott
A2 - Ruggiero, Fabio
A2 - Simonin, Olivier
A2 - Wang, Danwei
A2 - Yang, Ming
A2 - Yoshida, Eiichi
A2 - Zhao, Huijing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025
Y2 - 19 October 2025 through 25 October 2025
ER -