1 |
Yang Ziwen, Zhu Shanying, Chen Cailian, et al. Leader-follower Formation Control of Nonholonomic Mobile Robots with Bearing-only Measurements[J]. Journal of the Franklin Institute, 2020, 357(3): 1628-1643.
|
2 |
Wang Yuanzhe, Wang Danwei, Yang Shuai, et al. A Practical Leader-follower Tracking Control Scheme for Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments[J]. IEEE Transactions on Control Systems Technology, 2019, 27(4): 1685-1693.
|
3 |
Jiang Chao, Chen Zhuo, Guo Yi. Multi-robot Formation Control: A Comparison between Model-Based and Learning-based Methods[J]. Journal of Control and Decision, 2020, 7(1): 90-108.
|
4 |
张玉超, 蒋沅, 代冀阳. 三阶多机器人协同编队动态避障控制[J]. 系统仿真学报, 2022, 34(8): 1762-1774.
|
|
Zhang Yuchao, Jiang Yuan, Dai Jiyang. Dynamic Obstacle Avoidance Control of Three-order Multi-robot Cooperative Formation[J]. Journal of System Simulation, 2022, 34(8): 1762-1774.
|
5 |
Khatib O. Real-time Obstacle Avoidance for Manipulators and Mobile Robots[M]. New York: Springer, 1986: 396-404.
|
6 |
Alonso-Mora J, Baker S, Rus D. Multi-robot Formation Control and Object Transport in Dynamic Environments via Constrained Optimization[J]. The International Journal of Robotics Research, 2017, 36(9): 1000-1021.
|
7 |
Dong Longfei, Chen Yangzhou, Qu Xiaojun. Formation Control Strategy for Nonholonomic Intelligent Vehicles Based on Virtual Structure and Consensus Approach[J]. Procedia Engineering, 2016, 137: 415-424.
|
8 |
刘翰培, 王东署, 汪宇轩, 等. 移动机器人路径规划的模糊人工势场法研究[J]. 控制工程, 2022, 29(1): 33-38.
|
|
Liu Hanpei, Wang Dongshu, Wang Yuxuan, et al. Research of Path Planning for Mobile Robots Based on Fuzzy Artificial Potential Field Method[J]. Control Engineering of China, 2022, 29(1): 33-38.
|
9 |
Zhang H, Li M, Wu Z. Path Planning Based on Improved Artificial Potential Field Method[C]//33rd Chinese Control and Decision Conference. China: IEEE, 2021: 4922-4925.
|
10 |
徐胜, 邢强, 王浩. 解决势场法路径规划中局部极小问题的角度累积法[J]. 控制与决策, 2022, 37(8): 1997-2007.
|
|
Xu Sheng, Xing Qiang, Wang Hao. Angle Accumulation Method for Solving Local Minimum Problem in Path Planning with Potential Field Method[J]. Control and Decision, 2022, 37(8): 1997-2007.
|
11 |
Shucker B, Bennett J K. Virtual Spring Mesh Algorithms for Control of Distributed Robotic Macrosensors[R]. Boulder, USA: University of Colorado at Boulder, 2005: 136.
|
12 |
高申勇, 许方镇, 郭鸿杰. 基于弹簧模型的移动机器人路径规划研究[J]. 仪器仪表学报, 2016, 37(4): 796-803.
|
|
Gao Shenyong, Xu Fangzhen, Guo Hongjie. Research on Mobile Robots' Path Planning Based on a Spring Model[J]. Chinese Journal of Scientific Instrument, 2016, 37(4): 796-803.
|
13 |
Wiech J, Eremeyev V A, Giorgio I. Virtual Spring Damper Method for Nonholonomic Robotic Swarm Self-organization and Leader Following[J]. Continuum Mechanics and Thermodynamics, 2018, 30(5): 1091-1102.
|
14 |
Pan Zhenhua, Wang Di, Deng Hongbin, et al. A Virtual Spring Method for the Multi-robot Path Planning and Formation Control[J]. International Journal of Control Automation and Systems, 2019, 17(5): 1272-1282.
|
15 |
Liang Xinwu, Wang Hesheng, Liu Yunhui, et al. Leader-following Formation Control of Nonholonomic Mobile Robots with Velocity Observers[J]. IEEE/ASME Transactions on Mechatronics, 2020, 25(4): 1747-1755.
|
16 |
Dang A D, La H M, Nguyen T, et al. Formation Control for Autonomous Robots with Collision and Obstacle Avoidance Using a Rotational and Repulsive Force-based Approach[J]. International Journal of Advanced Robotic Systems, 2019, 16(3): 1729881419847897.
|