@inproceedings{2098be8f5c2f417cb72340f5361c9f2a,
title = "Obstacle Avoidance Strategy of Improved APF Method in C-space",
abstract = "As human-robot integration problem attracts attentions, obstacle avoidance algorithm has become a concern for robots which achieves safety. This paper proposed an improved artificial potential field (APF) method which applies APF in C-space (C-APF). C-APF is brief and robust. Simulation results show the effectiveness of C-APF and its advantages with the traditional APF method was compared.",
author = "Jingshen Zhao and Ying Wang and Lixing Jin and Xingguang Duan and Weijun Zhang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021 ; Conference date: 27-12-2021 Through 31-12-2021",
year = "2021",
doi = "10.1109/ROBIO54168.2021.9739412",
language = "English",
series = "2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2011--2017",
booktitle = "2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021",
address = "United States",
}