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Efficient Obstacle Rearrangement for Object Manipulation Tasks in Cluttered Environments

Title
Efficient Obstacle Rearrangement for Object Manipulation Tasks in Cluttered Environments
Author
박종현
Keywords
Histograms; Planning; Task analysis; Grasping; End effectors
Issue Date
2019-05
Publisher
IEEE
Citation
2019 International Conference on Robotics and Automation (ICRA), Page. 183-189
Abstract
We present an algorithm that produces a plan for relocating obstacles in order to grasp a target in clutter by a robotic manipulator without collisions. We consider configurations where objects are densely populated in a constrained and confined space. Thus, there exists no collision-free path for the manipulator without relocating obstacles. Since the problem of planning for object rearrangement has shown to be NP-hard, it is difficult to perform manipulation tasks efficiently which could frequently happen in service domains (e.g., taking out a target from a shelf or a fridge).Our proposed planner employs a collision avoidance scheme which has been widely used in mobile robot navigation. The planner determines an obstacle to be removed quickly in real time. It also can deal with dynamic changes in the configuration (e.g., changes in object poses). Our method is shown to be complete and runs in polynomial time. Experimental results in a realistic simulated environment show that our method improves up to 31% of the execution time compared to other competitors. © 2019 IEEE.
URI
https://ieeexplore.ieee.org/document/8793616http://repository.hanyang.ac.kr/handle/20.500.11754/111221
ISBN
978-1-5386-6027-0
ISSN
1050-4729; 2577-087X
DOI
10.1109/ICRA.2019.8793616
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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