Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces

  • Somdyuti Paul, Lovekesh Vig
  • Published 2017 in
    2017 IEEE International Conference on Computer…

Abstract

One of the most important tasks for Autonomous Robotics is the ability to manipulate objects in real world unstructured environments. Traditional path planning for robotic manipulators requires precise location of the target object in the environment based on which inverse kinematics return the required joint-angles for approaching the object. This limits… (More)
DOI: 10.1109/ICCVW.2017.91

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Cite this paper

@article{Paul2017DeterministicPG, title={Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces}, author={Somdyuti Paul and Lovekesh Vig}, journal={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)}, year={2017}, pages={725-733} }