Mobile robot position control in environment with static obstacles

被引:1
作者
Giannousakis, Konstantinos [1 ]
Tzes, Anthony [2 ]
机构
[1] Univ Patras, Elect & Comp Engn Dept, Rion 26500, Greece
[2] New York Univ Abu Dhabi, Elect & Comp Engn Program, POB 129188, Abu Dhabi, U Arab Emirates
关键词
collision avoidance; mobile robots; position control; acceleration constraints; angular velocity; reference direction; linear velocity; final target; mobile robot position control; static obstacles; differential drive mobile robot; omnidirectional range sensor; known obstacles; shortest path; target point; raw desired movement direction; unobstructed area; visibility range; DYNAMIC WINDOW APPROACH; FIELD;
D O I
10.1049/iet-csr.2020.0002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study addresses the problem of efficiently navigating a differential drive mobile robot to a target pose in a region with obstacles, without explicitly generating a trajectory. The robot is assumed to be equipped with an omnidirectional range sensor, while the region may or may not be a priori known. Given the known obstacles in each iteration of the controller, the shortest path connecting the robot and the target point provides a raw desired movement direction. Considering the unobstructed area in that direction, the size of the robot and the obstacle contours in its visibility range, the reference direction is determined. Finally, respecting the velocity and acceleration constraints of the robot, the angular velocity is properly selected to rotate the robot towards the reference direction, while the linear velocity is chosen to efficiently minimise the distance to the final target, as well as to avoid collisions. After the robot has reached the target, the controller switches to orientation mode in order to fix the orientation. Experimental studies demonstrate the effectiveness of the algorithm.
引用
收藏
页码:78 / 87
页数:10
相关论文
共 50 条
  • [31] C- BASED ALGORITHM TO AVOID STATIC OBSTACLES IN ROBOT NAVIGATION
    Goyal, Lalit
    Aggarwal, Swati
    SOUVENIR OF THE 2014 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2014, : 68 - 73
  • [32] Mobile robot localization in indoor environment
    Dulimarta, HS
    Jain, AK
    PATTERN RECOGNITION, 1997, 30 (01) : 99 - 111
  • [33] Deep Learning-based Algorithm for Mobile Robot Control in Textureless Environment
    Petrovic, Milica
    Mystkowski, Arkadiusz
    Jokic, Aleksandar
    Dokic, Lazar
    Miljkovic, Zoran
    15TH INTERNATIONAL CONFERENCE MECHATRONIC SYSTEMS AND MATERIALS, MSM'20, 2020, : 143 - 146
  • [34] Speed and position control of autonomous mobile robot on variable trajectory depending on its curvature
    Gunes, Mahit
    Baba, A. Fevzi
    JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2009, 68 (06): : 513 - 521
  • [35] Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles
    Montiel, Oscar
    Orozco-Rosas, Ulises
    Sepulveda, Roberto
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (12) : 5177 - 5191
  • [36] Remote Control Method With Force Assist Based on Time to Collision for Mobile Robot
    Masaki, Ryo
    Motoi, Naoki
    IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY, 2020, 1 (01): : 157 - 165
  • [37] Hybrid Force/Position Control of a Very Flexible Parallel Robot Manipulator in Contact with an Environment
    Ansarieshlaghi, Fatemeh
    Eberhard, Peter
    ICINCO: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 2, 2019, : 59 - 67
  • [38] KINEMATICAL CONTROL FOR A MOBILE ROBOT
    Szoke, Zoltan
    Negrean, Iuliu
    Schonstein, Claudiu
    Kacso, Kalman
    ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING, 2013, 56 (02): : 425 - 430
  • [39] Intelligent sensor-based navigation and control of mobile robot in a partially known environment
    Topalov, AV
    Tsankova, DD
    Petrov, MG
    Proychev, TP
    INTELLIGENT AUTONOMOUS VECHICLES 1998 (IAV'98), 1998, : 267 - 272
  • [40] Optimal Control-based Trajectory Planning Method of Mobile Robot in Complex Environment
    Zhang P.
    Ni T.
    Zhao Y.
    Zhai H.
    Zhao Z.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2022, 53 (07): : 414 - 421