@inproceedings{cd4cc62bedf3414e96b75b28627cc97e,
title = "Shadow space modeling for task planning of dual manipulators",
abstract = "This paper presents a collision-free task planning method for dual manipulators by introducing shadow space modeling concept. The shadow space is defined as a subset of working space that is occupied by the robot's movement. The collision can be detected and prevented by computing the intersection of two manipulators' shadow spaces. Then a novel genetic algorithm with mutual exclusive chromosomes is proposed to solve the collision-free optimal task sequences for the dual manipulators.",
keywords = "Collision Avoidance, Dual Manipulators, Path Planning, Shadow Space",
author = "Yoon, {Hyun Joong} and Chung, {Seong Youb} and Hwang, {Myun Joong}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 ; Conference date: 28-06-2017 Through 01-07-2017",
year = "2017",
month = jul,
day = "25",
doi = "10.1109/URAI.2017.7992816",
language = "English",
series = "2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "749--750",
booktitle = "2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017",
address = "United States",
}