Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller
High-speed walking is fundamental for humanoid robots to quickly reach the work site in emergency scenarios. According to biological studies, the coordinated motion of the arms and waist can significantly enhance walking speed and stability in humans. However, existing humanoid robot walking control...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Neurorobotics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2025.1538979/full |
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| author | Xiangji Wang Wei Guo Siyu Yin Sen Zhang Fusheng Zha Fusheng Zha Mantian Li Pengfei Wang Xiaolin Li Lining Sun |
| author_facet | Xiangji Wang Wei Guo Siyu Yin Sen Zhang Fusheng Zha Fusheng Zha Mantian Li Pengfei Wang Xiaolin Li Lining Sun |
| author_sort | Xiangji Wang |
| collection | DOAJ |
| description | High-speed walking is fundamental for humanoid robots to quickly reach the work site in emergency scenarios. According to biological studies, the coordinated motion of the arms and waist can significantly enhance walking speed and stability in humans. However, existing humanoid robot walking control frameworks predominantly focus on leg control, often overlooking the utilization of upper body joints. In this paper, a novel walking control framework combining the improved footstep planner and the whole-body coordination controller is proposed, aiming to improve the humanoid robot's tracking accuracy of desired speeds and its dynamic walking capability. First, we analyze the issues in traditional footstep planners based on Linear Inverted Pendulum and Model Predictive Control (LIP-MPC). By reconstructing the footstep optimization problem during walking using the Center-of-Mass (CoM) position, we propose an improved footstep planner to enhance the control accuracy of the desired walking speed in humanoid robots. Next, based on biological research, we define a coordinated control strategy for the arms and waist during walking. Specifically, the waist increases the robot's step length, while the arms counteract disturbance momentum and maintain balance. Based on the aforementioned strategy, we design a whole-body coordination controller for the humanoid robot. This controller adopts a novel hierarchical design approach, in which the dynamics and motion controllers for the upper and lower body are modeled and managed separately. This helps avoid the issue of poor control performance caused by multi-task coupling in traditional whole-body controllers. Finally, we integrate these controllers into a novel walking control framework and validate it on the simulation prototype of the humanoid robot Dexbot. Simulation results show that the proposed framework significantly enhances the maximum walking capability of the humanoid robot, demonstrating its feasibility and effectiveness. |
| format | Article |
| id | doaj-art-01380c9c05e84a01bf5e631a4bf2147e |
| institution | DOAJ |
| issn | 1662-5218 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurorobotics |
| spelling | doaj-art-01380c9c05e84a01bf5e631a4bf2147e2025-08-20T03:01:15ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182025-02-011910.3389/fnbot.2025.15389791538979Walking control of humanoid robots based on improved footstep planner and whole-body coordination controllerXiangji Wang0Wei Guo1Siyu Yin2Sen Zhang3Fusheng Zha4Fusheng Zha5Mantian Li6Pengfei Wang7Xiaolin Li8Lining Sun9State Key Laboratory of Robotics and System Harbin Institute of Technology, Harbin, ChinaState Key Laboratory of Robotics and System Harbin Institute of Technology, Harbin, ChinaState Key Laboratory of Robotics and System Harbin Institute of Technology, Harbin, ChinaState Key Laboratory of Robotics and System Harbin Institute of Technology, Harbin, ChinaState Key Laboratory of Robotics and System Harbin Institute of Technology, Harbin, ChinaLanzhou University of Technology, Lanzhou, ChinaInstitute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, ChinaState Key Laboratory of Robotics and System Harbin Institute of Technology, Harbin, ChinaInstitute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, ChinaState Key Laboratory of Robotics and System Harbin Institute of Technology, Harbin, ChinaHigh-speed walking is fundamental for humanoid robots to quickly reach the work site in emergency scenarios. According to biological studies, the coordinated motion of the arms and waist can significantly enhance walking speed and stability in humans. However, existing humanoid robot walking control frameworks predominantly focus on leg control, often overlooking the utilization of upper body joints. In this paper, a novel walking control framework combining the improved footstep planner and the whole-body coordination controller is proposed, aiming to improve the humanoid robot's tracking accuracy of desired speeds and its dynamic walking capability. First, we analyze the issues in traditional footstep planners based on Linear Inverted Pendulum and Model Predictive Control (LIP-MPC). By reconstructing the footstep optimization problem during walking using the Center-of-Mass (CoM) position, we propose an improved footstep planner to enhance the control accuracy of the desired walking speed in humanoid robots. Next, based on biological research, we define a coordinated control strategy for the arms and waist during walking. Specifically, the waist increases the robot's step length, while the arms counteract disturbance momentum and maintain balance. Based on the aforementioned strategy, we design a whole-body coordination controller for the humanoid robot. This controller adopts a novel hierarchical design approach, in which the dynamics and motion controllers for the upper and lower body are modeled and managed separately. This helps avoid the issue of poor control performance caused by multi-task coupling in traditional whole-body controllers. Finally, we integrate these controllers into a novel walking control framework and validate it on the simulation prototype of the humanoid robot Dexbot. Simulation results show that the proposed framework significantly enhances the maximum walking capability of the humanoid robot, demonstrating its feasibility and effectiveness.https://www.frontiersin.org/articles/10.3389/fnbot.2025.1538979/fullhumanoid robotfootstep plannerlinear inverted pendulummodel predictive controlwhole-body coordination control |
| spellingShingle | Xiangji Wang Wei Guo Siyu Yin Sen Zhang Fusheng Zha Fusheng Zha Mantian Li Pengfei Wang Xiaolin Li Lining Sun Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller Frontiers in Neurorobotics humanoid robot footstep planner linear inverted pendulum model predictive control whole-body coordination control |
| title | Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller |
| title_full | Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller |
| title_fullStr | Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller |
| title_full_unstemmed | Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller |
| title_short | Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller |
| title_sort | walking control of humanoid robots based on improved footstep planner and whole body coordination controller |
| topic | humanoid robot footstep planner linear inverted pendulum model predictive control whole-body coordination control |
| url | https://www.frontiersin.org/articles/10.3389/fnbot.2025.1538979/full |
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