TY - GEN
T1 - Motion Control of a Hybrid Self-Reconfigurable Wheel-Legged Dual-Arm Robot
AU - Zhang, Rui
AU - Du, Hong
AU - Qiu, Peng
AU - Yang, Yi
AU - Song, Wenjie
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Current wheeled bipedal robots face significant mobility challenges when traversing discontinuous terrain such as gaps and step-like obstacles, and suffer from substantial dynamic inefficiencies. This paper presents a hybrid self-reconfigurable wheel-legged dual-arm robot equipped with an active docking mechanism, enabling transitions between wheeled bipedal and multi-wheel-legged configurations. Based on a self-developed robotic platform, this work addresses key control challenges in articulated multi-wheel-legged mode and proposes a novel distributed operation paradigm for wheeled bipedal robots. Each module utilizes its manipulators for stable grasping of elevated objects and collaborative tasks, while the multi-unit system achieves efficient, high-load, and stable locomotion. To manage the control complexities in multimodal operation, we develop a unified modular control architecture integrating Virtual Model Control (VMC) and Linear Quadratic Regulator (LQR). For the articulated multi-wheel-legged mode, a body-posture controller regulates global body configuration, and a turning controller adjusts the wheelbase and roll angle via distributed actuation to manage the passive degrees of freedom (DoF) at the articulation points. Experimental validation using a physical prototype confirms the effectiveness and practicality of the proposed approach.
AB - Current wheeled bipedal robots face significant mobility challenges when traversing discontinuous terrain such as gaps and step-like obstacles, and suffer from substantial dynamic inefficiencies. This paper presents a hybrid self-reconfigurable wheel-legged dual-arm robot equipped with an active docking mechanism, enabling transitions between wheeled bipedal and multi-wheel-legged configurations. Based on a self-developed robotic platform, this work addresses key control challenges in articulated multi-wheel-legged mode and proposes a novel distributed operation paradigm for wheeled bipedal robots. Each module utilizes its manipulators for stable grasping of elevated objects and collaborative tasks, while the multi-unit system achieves efficient, high-load, and stable locomotion. To manage the control complexities in multimodal operation, we develop a unified modular control architecture integrating Virtual Model Control (VMC) and Linear Quadratic Regulator (LQR). For the articulated multi-wheel-legged mode, a body-posture controller regulates global body configuration, and a turning controller adjusts the wheelbase and roll angle via distributed actuation to manage the passive degrees of freedom (DoF) at the articulation points. Experimental validation using a physical prototype confirms the effectiveness and practicality of the proposed approach.
UR - https://www.scopus.com/pages/publications/105029955034
U2 - 10.1109/IROS60139.2025.11246212
DO - 10.1109/IROS60139.2025.11246212
M3 - Conference contribution
AN - SCOPUS:105029955034
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 16483
EP - 16488
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 -