Abstract
A motion planner based on artificial potential field for unmanned tractor is proposed in this paper. In order to get the effective environment model, the model for condition of terrain and impact of ground to tractor is analyzed and built. The tractor usually brings a trailer behind, so the kinematics of tractor with a trailer is presented. The motion planner based on artificial potential field is designed for the unmanned tractor working in farmland. According to the characteristics of the unmanned tractor, the control algorithm and motion planner is optimized. The simulation of the improved motion planner for unmanned tractor is presented and analyzed. And the simulation results are presented to show the effectiveness of the proposed method.
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Acknowledgments
This work is supported by National Natural Science Foundation of China (No. 31670719). The authors would like to thank all the members including trainees in ICT/CAS-ASTRI Advanced Wireless Technology Joint Research Center, Institute of Computing Technology, Chinese Academy of Sciences.
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Hou, K., Zhang, Y., Shi, J., Zheng, Y. (2019). Motion Planning Based on Artificial Potential Field for Unmanned Tractor in Farmland. In: Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2018. Advances in Intelligent Systems and Computing, vol 784. Springer, Cham. https://doi.org/10.1007/978-3-319-94346-6_15
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DOI: https://doi.org/10.1007/978-3-319-94346-6_15
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