TY - JOUR
T1 - Task-space coordination control of bilateral human-swarm systems
AU - Liu, Yen Chen
N1 - Funding Information:
This work was supported in part by the National Science Council, Taiwan , under Grant NSC 102-2221-E-006-265 , and in part by the Headquarters of University Advancement at the National Cheng Kung University , which is sponsored by the Ministry of Education, Taiwan.
Publisher Copyright:
© 2014 The Franklin Institute.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - This paper proposes a system framework and control algorithms that enable a human operator to simultaneously interact with a group of swarm robot in a remote environment. In order to cope with kinematic dissimilarity and spatial discrepancy between human and swarm systems, a task-oriented control framework is developed. Based on the proposed control system, the human operator is able to convey action commands to the swarm, and the swarm robot can provide feedback information for the human operator. Additionally, the cognitive limitation of the human operator due to lack of entire information about the remote environment can be mitigated by utilizing the null-space of the swarm robot. Stability and performance of the proposed control system are investigated when the communication channels are subject to time delays and the system is influenced by non-passive external forces. The control algorithms are validated via numerical simulations on a 3-DOF robotic manipulator with a group of mobile swarm robot.
AB - This paper proposes a system framework and control algorithms that enable a human operator to simultaneously interact with a group of swarm robot in a remote environment. In order to cope with kinematic dissimilarity and spatial discrepancy between human and swarm systems, a task-oriented control framework is developed. Based on the proposed control system, the human operator is able to convey action commands to the swarm, and the swarm robot can provide feedback information for the human operator. Additionally, the cognitive limitation of the human operator due to lack of entire information about the remote environment can be mitigated by utilizing the null-space of the swarm robot. Stability and performance of the proposed control system are investigated when the communication channels are subject to time delays and the system is influenced by non-passive external forces. The control algorithms are validated via numerical simulations on a 3-DOF robotic manipulator with a group of mobile swarm robot.
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U2 - 10.1016/j.jfranklin.2014.11.001
DO - 10.1016/j.jfranklin.2014.11.001
M3 - Article
AN - SCOPUS:84919355550
SN - 0016-0032
VL - 352
SP - 311
EP - 331
JO - Journal of the Franklin Institute
JF - Journal of the Franklin Institute
IS - 1
ER -