A new gap-based obstacle avoidance approach: follow the obstacle circle method

Author:

Houshyari Hosein,Sezer VolkanORCID

Abstract

Abstract One of the most challenging tasks for autonomous robots is avoiding unexpected obstacles during their path following operation. Follow the gap method (FGM) is one of the most popular obstacle avoidance algorithms that recursively guides the robot to the goal state by considering the angle to the goal point and the distance to the closest obstacles. It selects the largest gap around the robot, where the gap angle is calculated by the vector to the midpoint of the largest gap. In this paper, a novel obstacle avoidance procedure is developed and applied to a real fully autonomous wheelchair. This proposed algorithm improves the FGM’s travel safety and brings a new solution to the obstacle avoidance task. In the proposed algorithm, the largest gap is selected based on gap width. Moreover, the avoidance angle (similar to the gap center angle of FGM) is calculated considering the locus of the equidistant points from obstacles that create obstacle circles. Monte Carlo simulations are used to test the proposed algorithm, and according to the results, the new procedure guides the robot to safer trajectories compared with classical FGM. The real experimental test results are in parallel to the simulations and show the real-time performance of the proposed approach.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference38 articles.

1. Stable timed elastic bands with loose ends

2. A new gap selection strategy for follow the gap method;Houshyari;Int. J. Mech. Eng. Rob. Res.,2021

3. Dynamic path planning for a mobile automaton with limited information on the environment;Lumelsky;Control,1986

4. [21] Simmons, R. , “The Curvature-Velocity Method for Local Obstacle Avoidance,” Proceedings of IEEE International Conference on Robotics and Automation, vol. 4 (IEEE, 1996) pp. 3375–3382.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predictive Follow the Gap Method for Dynamic Obstacle Avoidance;2024 13th International Workshop on Robot Motion and Control (RoMoCo);2024-07-02

2. OBSTACLE AVOIDANCE SYSTEM FOR AN OBJECT TRANSPORTATION ROBOT BASED ON SHAPE MEASUREMENT;INT J INNOV COMPUT I;2024

3. Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot;Sensors;2024-06-01

4. SLAM (Simultaneous localisation and mapping) Using E-PUCK Robot In Webots Software;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05

5. Predictive Angular Potential Field-based Obstacle Avoidance for Dynamic UAV Flights;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3