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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiaqi Xu Lin Lang Honglei An Hongxu Ma Kaiying Zhu |
| Copyright Year | 2015 |
| Description | Author affiliation: PLA Special Oper. Univ., Guangzhou, China (Kaiying Zhu) || Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China (Jiaqi Xu; Lin Lang; Honglei An; Hongxu Ma) |
| Abstract | It is well-known that the walking gait for quadruped robots has great potential to travel over rough terrain because of its higher flexibility and better environment adaptability. This paper presents a control framework for a quadruped robot walking over rough terrain, which includes such features: First, a preview controller is designed to create an appropriate body trajectory to realize the desired ZMP; Second, a new optimal force distribution is presented by minimizing the sum of the weighted torque efforts of the robot; Third, a contact force based compliance controller is designed to increase robustness in face of unknown and unanticipated disturbances. Simulations were performed with no four feet supporting period, the robot model successfully fast walking over rough terrain and going upstairs and downstairs. Then in the experiments, the quadruped robot achieved going upstairs with a stair of 0.15m. Simulations and experiments demonstrate the effectiveness of our compliance control strategy. |
| Starting Page | 348 |
| Ending Page | 353 |
| File Size | 854078 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781467371896 |
| DOI | 10.1109/CAC.2015.7382523 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-11-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Legged locomotion Jacobian matrices Walking gait Torque Robot kinematics Force Quadruped robot Preview control Force distribution Compliance control Foot |
| Content Type | Text |
| Resource Type | Article |
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