Autonomous robots are required to avoid the obstacles during navigation. For this purpose unknown and unexpected obstacles have to be detected during motion. The proposed approach uses particle filters to process sensors data and estimate relative position of the robot with regard to the obstacles and to the goal. These relative position estimations are inputs to the velocity potential field approach for obtaining time varying velocity commands for the robot to avoid all obstacles and reach the goal.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robot navigation using velocity potential fields and particle filters for obstacle avoidance


    Contributors:


    Publication date :

    2015-07-01


    Size :

    1027471 byte



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Obstacle avoidance robot

    YUAN MINGHAI / CAI XIANXIAN / LI FAN et al. | European Patent Office | 2020

    Free access

    Autonomous obstacle avoidance underwater navigation subsea pipeline detection robot

    YUAN JIANPING / LI JIN / CHEN XINGLIANG et al. | European Patent Office | 2023

    Free access

    Autonomous Navigation and Obstacle Avoidance

    Berger, Jesse / Carson, Cory / Towhidnejad, Massood et al. | AIAA | 2009


    Active obstacle avoidance robot

    LIANG WUCHANG | European Patent Office | 2023

    Free access

    Flying robot obstacle avoidance device and obstacle avoidance method of flying robot

    WANG XIAOGUANG | European Patent Office | 2020

    Free access