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An Adaptive Behavior Under Uneven Terrains for Quadruped Robot

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Cognitive Systems and Signal Processing (ICCSIP 2018)

Abstract

In order to improve the adaptive behavior performance of the quadruped robot under uneven terrains, based on the locomotion characteristic of the trot gait, the robot is simplified as the model of the body and virtual leg. The virtual leg dynamics is established and analyzed. Also, on the basis of the dynamic model, the foothold and the trajectory during the stance duration are planned. Combined with the extern force exerted on the robot, the contact compliance control model is established to map to multi-DOF joints. The body posture balance could be achieved by compensating the foot position. The experiment is built in the uneven terrain with the trot gait, and the experimental result validates the feasibility of the method.

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant No. 91748211) and the Grant 2016QNRC001.

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Correspondence to Bo Su .

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Xu, P. et al. (2019). An Adaptive Behavior Under Uneven Terrains for Quadruped Robot. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-7983-3_43

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  • DOI: https://doi.org/10.1007/978-981-13-7983-3_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7982-6

  • Online ISBN: 978-981-13-7983-3

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