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Recent Patents on Mechanical Engineering


ISSN (Print): 2212-7976
ISSN (Online): 1874-477X

Research Article

Obstacle Avoidance Path Planning of 7-DOF Redundant Manipulator Based on Improved Ant Colony Optimization

Author(s): Shuaixiu Wang, Wenjie Wang*, Yuting Cao, Yang Luo and Xiaohua Wang

Volume 16, Issue 3, 2023

Published on: 09 June, 2023

Page: [177 - 187] Pages: 11

DOI: 10.2174/2212797616666230417104506

Price: $65


Background: Obstacle avoidance path planning is an important parameter of robot manipulators. Path planning can directly affect the working efficiency of the manipulator.

Objective: This study aims to summarize the optimization design method from a large number of literature and propose a new optimization design method to make the planned obstacle avoidance path of the manipulator shorter and smoother.

Methods: The forward and inverse kinematics of the redundant manipulator is solved. Secondly, the obstacle and the robot manipulator envelope are simplified for collision detection. Then, the ant colony algorithm is improved by adding an obstacle environment to the construction of the heuristic function and dynamically adjusting the heuristic function factor to make the shortest path distance planned by the algorithm. Finally, the worst ant colony is added to the pheromone update to avoid the algorithm falling into the local optimal solution.

Results: Through experiments and comparative studies, the optimized design process shows that the path planned by the improved ant colony algorithm has obvious advantages of shorter path distance and smoother path distance, which verifies the rationality of the improved algorithm.

Conclusion: This method optimizes the convergence speed of the ant colony algorithm and avoids the ant colony algorithm from falling into the local optimal solution, which is of great significance for improving the obstacle avoidance path planning problem of a redundant manipulator with a degree of freedom.

Keywords: Control engineering, redundant manipulator, kinematics, obstacle avoidance, path planning, ant colony optimization.

Wang WJ, Cao YT, Chen CC, et al. A rapid method for solving inverse kinematics of redundant degree of freedom robots, CN Patent No. 202011251399.2, 2021.
Khatib O. Real-time obstacle avoidance for manipulators and mobile robots. Proceedings 1985. IEEE international conference on robotics and automation. St. Louis, MO, USA, March. 1985.
Li L, Chen HW, Wang TH, Zhang Q, Wang GP, Tian YZ, et al. Obstacle avoidance path planning of manipulator based on proximity. Robot 2022; 44(05): 1-12.
Chen MY, Qiao Z, Zhang G, Liang JM, Hou ZZ, Yang WL, et al. Robot obstacle avoidance path planning in multi-obstacle environment. Jisuanji Jicheng Zhizao Xitong 2021; 27(04): 990-8.
Xie L. Dynamic obstacle avoidance planning for redundant robots. M.A Dissertation, Zhejiang University, Hangzhou City, Zhejiang Province, 2018.
Kavraki LE, Svestka P, Latombe J-C, Overmars MH. Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Trans Robot Autom 1996; 12(4): 566-80.
Kothari M, Postlethwaite I. A Probabilistically Robust Path Planning Algorithm for UAVs using rapidly-exploring random trees. J Intell Robot Syst 2013; 71(2): 231-53.
Flavigne T. Improving motion planning in weakly connected configuration spaces. IEEE/RSJ International Conference on Intelligent Robots & Systems. 5900-.
[ 10.1109/IROS.2010.5650612]
Vandeweghe JM, Ferguson D, Srinivasa S. Randomized path planning for redundant manipulators without inverse kinematics. IEEE-RAS International conference on humanoid robots: . Pittsburgh,PA, USA, 2007; pp. 477-82.
Xie Y, Zhang Z, Wu X, Shi Z, Chen Y, Wu B, et al. Obstacle avoidance and path planning for multi-joint manipulator in a space robot. IEEE Access 2019; 8: 3511-26.
Li YH, Huo Q, Li A, He S, Zhang EY, Sai HY, et al. Design and experiment of modular hyper-redundant space manipulator. Robot 2022; 44(01): 55-65.
Zhen JB. . Kinematic analysis and obstacle avoidance path planning of 7-DOF spray robot. M.A Dissertation, Lanzhou University of Technology, Lanzhou City, Gansu Province, March 2019.
Xu J, Liu Z, Zhao Y, Pei Y, Cheng Q. A path optimization technique with obstacle avoidance for an 8-DOF robot in bolt looseness detection task. Int J Precis Eng Manuf 2019; 20(5): 717-35.
Qi RL, Zhou WJ, Wang TJ. A new obstacle avoidance trajectory planning method for space robots based on genetic algorithm. Robot 2014; 36(3): 263-70.
Yun C, Liu G, Wang G, Yang XB. Research on obstacle avoidance of redundant robots based on RBF neural network and quadratic programming. Electromech Eng 2016; 33(1): 7.
Chen Z, Su W, Li B, Deng B, Wu H, Liu B. An intermediate point obstacle avoidance algorithm for serial robot. Adv Mech Eng 2018; 10(5): 1-15.
Di Caprio D, Ebrahimnejad A, Alrezaamiri H, Santos-Arteaga FJ. A novel ant colony algorithm for solving shortest path problems with fuzzy arc weights. Alex Eng J 2022; 61(5): 3403-15.
Jiao G. Simulation Research on the Palm Mechanism of Volleyball Robot Based on Artificial Intelligence and Ant Colony Optimization Algorithm. Secur Commun Network 2022; 2022: 1-10.

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