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Optimal Energy Consumption Strategy of the Body Joint Quadruped Robot Based on CPG with Multi-sensor Fused Bio-reflection on Complex Terrain

摘要Quadruped robots with body joints exhibit enhanced mobility,however,in outdoor environments,the energy that the robot can carry is limited,necessitating optimization of energy consumption to accomplish more tasks within these constraints.Inspired by quadruped animals,this paper proposes an energy-saving strategy for a body joint quadruped robot based on Central Pattern Generator(CPG)with multi-sensor fusion bio-reflexes.First,an energy consumption model for the robot is established,and energy characteristic tests are conducted under different gait parameters.Based on these energy characteristics,optimal energy-efficient gait parameters are determined for various environmental conditions.Second,biological reflex mechanisms are studied,and a motion control model based on multi-sensor fusion biological reflexes is established using CPG as the foundation.By integrating the reflex model and gait parameters,real-time adaptive adjust-ments to the robot's motion gait are achieved on complex terrains,reducing energy loss caused by terrain disturbances.Finally,a prototype of the body joint quadruped robot is built for experimental verification.Simulation and experimental results demonstrate that the proposed algorithm effectively reduces the robot's Cost of Transport(COT)and significantly improves energy efficiency.The related research results can provide a useful reference for the research on energy effi-ciency of quadruped robots on complex terrain.

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作者 Qinglin Ai [1] Guozheng Song [2] Hangsheng Tong [2] Binghai Lv [1] Jiaoliao Chen [1] Jiyu Peng [1] 学术成果认领
作者单位 College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou 310014,China;Key Laboratory of Special Purpose Equipment and Advanced Manufacturing Technology,Ministry of Education &Zhejiang Province,Hangzhou 310014,China [1] College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou 310014,China [2]
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DOI 10.1007/s42235-025-00701-z
发布时间 2025-09-16(万方平台首次上网日期,不代表论文的发表时间)
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仿生工程学报(英文版)

仿生工程学报(英文版)

2025年22卷4期

1731-1757页

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