Search Results - "Potential field method (Robotics)"

Hierarchical Attack-Defense Strategy of Unmanned Surface Vehicles for Domain Protection and Invasion Task.

Authors: Wang, Jinduo Pu, Huayan Shi, Zhaoxiang et al.

Source: Unmanned Systems. Jul2026, Vol. 14 Issue 4, p819-838. 20p.

Trajectory planning method for pipeline installation robots based on AS-DTRRT.

Authors: Liu, Zhixiang Hu, Wentao Xie, Chunxue

Source: PLoS ONE. 5/22/2026, Vol. 21 Issue 5, p1-27. 27p.

Robust trajectory tracking and obstacle avoidance control for omnidirectional mobile robots.

Authors: Huang, He Liu, Haibin Li, Mingfei et al.

Source: Asian Journal of Control; May2026, Vol. 28 Issue 3, p1187-1198, 12p

Task-Coordinated Path Optimization for Grouped Unmanned Surface Vehicle Formations.

Authors: Wang, Gening Zhang, Wenlong Ding, Kailun et al.

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4525, 23p

A Path Optimization Simulation Method for Nuclear Power Plant Inspection and Maintenance Robots Based on the Integration of Bi-RRT and APF.

Authors: Wu, Tong Zhu, Meihao Liu, Zhansheng et al.

Source: Algorithms. May2026, Vol. 19 Issue 5, p337. 22p.

基于改进 APF-Bi-RRT 算法的移动机器人 路径规划研究.

Alternate Title: Mobile robot path planning via an improved APF-Bi-RRT* algorithm.

Authors: 韦伟 陈宇 齐文

Source: Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban). 2026, Vol. 18 Issue 3, p362-371. 10p.

Dynamic obstacle avoidance path planning for collaborative robot based on improved APF-Bi-RRT algorithm.

Authors: Li, Yufei Yan, Li Wang, Maixin et al.

Source: Science Progress. Apr-Jun2026, Vol. 109 Issue 2, p1-31. 31p.

PFMS-RRT*: A Progress-Aware Fused-Sampling RRT* with Multi-Level Strategy Extension for Path Planning.

Authors: Li, Zhongwei Li, Jiaming Luo, Cai

Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 6, p3107, 29p

A Comprehensive Review of Artificial Potential Field Techniques in Human-Robot Collaboration from 2019 to 2024.

Authors: Pham, Chi Dung Nguyen, Hung Nguyen, Thanh Phuong et al.

Source: Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p32053-32073, 21p

多策略协同扩展的变步长 CDBA-RRT^∗ 机器人路径规划算法.

Alternate Title: Multi-strategy collaborative expansion adaptive step-size CDBA-RRT∗ robot path planning algorithm.

Authors: 韩龙岗 盛 洲 徐 浩

Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. Feb2026, Vol. 43 Issue 2, p411-419. 9p.

基于 APF-MASAC 算法的多无人车路径规划研究.

Alternate Title: Multi-unmanned vehicle path planning via APF-MASAC algorithm.

Authors: 闫冬梅 杨南禹 许佳佳 et al.

Source: Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban). 2026, Vol. 18 Issue 1, p69-75. 7p.

Integrating A* and APF for Dynamic Path Planning for the Mars Rover: A Fusion Approach to Avoid Deceptive Terrain.

Authors: Liu, Zhenlei Wu, Hao Qi, Ji et al.

Source: Journal of Aerospace Engineering. Jul2026, Vol. 39 Issue 4, p1-11. 11p.

Subjects: Mars rovers, Potential field method (Robotics), Heuristic, Model validation, Robotic path planning

Mobile Robot Path Planning Considering Obstacle Gap Features.

Authors: Wang, Hongwei He, Li Zhang, Shuai et al.

Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 11, p5979, 16p

UAV Path Planning Based on an Improved Tasmanian Devil Optimization Algorithm.

Authors: Sun, Lijie Ren, Jianwei Xiang, Xinyu

Source: Concurrency & Computation: Practice & Experience; Jul2026, Vol. 38 Issue 13, p1-15, 15p

基于势场引导的改进 Informed-RRT*算法 及其在高效路径规划中的应用. (Chinese)

Authors: 陈 桃 郑恩辉 王轩杰 et al.

Source: Modern Electronic Technology; Jul2026, Vol. 49 Issue 13, p172-180, 9p

基于改进人工势场法的变电站巡检机器人路径规划. (Chinese)

Authors: 梁 佳 寇立伟 刘 源 et al.

Source: Modern Electronic Technology; Jun2026, Vol. 49 Issue 12, p178-188, 7p

基于改进APF-IRRT*的机械臂路径规划研究. (Chinese)

Authors: 戈海龙 董学富 孙嘉宾 et al.

Source: Manufacturing Technology & Machine Tool; 2026, Issue 6, p75-82, 8p

An Integrated Improved Artificial Potential Field and GA-LQR/PID Control Framework for Autonomous Vehicle Lane-Change Overtaking in Structured Roads.

Authors: Huang, Yue Guan, Zhiwei Zhao, Yu

Source: World Electric Vehicle Journal; Jun2026, Vol. 17 Issue 6, p324, 26p

基于改进A*-人工势场算法的动态路径规划研究. (Chinese)

Authors: 李 鹤 徐义春 张 上

Source: Modern Electronic Technology; May2026, Vol. 49 Issue 10, p166-171, 6p

An improved fuzzy‐controlled local path planning algorithm based on dynamic window approach.

Authors: Liu, Aizun Liu, Chong Li, Lei et al.

Source: Journal of Field Robotics. Mar2025, Vol. 42 Issue 2, p430-454. 25p.

Subjects: Robotic path planning, Potential field method (Robotics), Mobile robots, Algorithms, Robots