Motion planning and control of redundant manipulators for dynamical obstacle avoidance

HIGHLIGHTS

  • who: Giacomo Palmieri and Cecilia Scoccia from the Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche have published the research: Motion Planning and Control of Redundant Manipulators for Dynamical Obstacle Avoidance, in the Journal: Machines 2021, 9, 121. of /2021/
  • what: In this paper, an obstacle avoidance strategy for robots moving in dynamically varying environments is presented and verified by simulation.
  • how: This paper presents a framework for the motion planning and control of redundant manipulators with the added task of collision
  • future: Future work will be directed . . .

     

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