• DocumentCode
    694561
  • Title

    Robot motion planning based on improved artificial potential field

  • Author

    Chen Tingbin ; Zhang Qisong

  • Author_Institution
    Inf. Technol. & Bus. Manage., Dalian Neusoft Univ. of Inf., Dalian, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    1208
  • Lastpage
    1211
  • Abstract
    The path planning is one of the key technologies of mobile robot field, which is also the one of the key technologies of intelligent robotics. As the mobile robot path planning is one of the most important and basic problem, path planning of robot has solved the robot movement question in the environment. This paper studies the method of robot path planning-artificial potential field method, which is the most mature, the most stable. In the traditional research of the robot path planning, the target is stationary, but in this paper research object is the mobile robot. So the traditional artificial potential field method is not adapted to this paper. This paper puts forward an improved artificial potential field method based on the traditional artificial potential field method, which can make the robots avoid obstacles while locate and track dynamic target. Finally, the simulation experiment shows the effectiveness of the improved artificial potential field method.
  • Keywords
    collision avoidance; intelligent robots; mobile robots; motion control; artificial potential field; intelligent robotics; mobile robot; obstacle avoidance; robot motion planning; robot path planning; Gravity; Mobile robots; Path planning; Robot kinematics; Robot sensing systems; Artificial Potential Field; Mobile Robot; Robot Path Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967319
  • Filename
    6967319