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Complete Robotic Systems for the IROS Grasping and Manipulation Challenge

  • Eadom Dessalene
  • Daniel Lofaro
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 816)

Abstract

Advances in perception, motion planning and grasping algorithms have enabled the movement from pick-and-place robots incapable of handling disturbances in the environment to intelligent robots with manipulation algorithms capable of dealing with novel surroundings. While the tasks outlined by the IROS Grasping and Manipulation Challenge included many challenging tasks (some of which surpassed current progress in robotic manipulation), assumptions about the competition environment were allowed. With these assumptions, we present our vision on two full robotic system pipelines behind the autonomous basket picking and task completion components of the IROS Grasping and Manipulation Competition.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.George Mason UniversityFairfaxUSA

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