This article presents a novel semiautonomous cooperative robotic system. Information flows in the architecture are designed based on the passivity property. The human passivity needed to guarantee the control goal is demonstrated using a human-in-the-loop simulator and system identification techniques. As a solution to stable coordination via bilateral human–swarm interactions, the research group built the system consisting of multiple planar robots, an operator and a computer whose role is to implement the distributed motion synchronization law. Experimental results on remote control of the robots are finally demonstrated. A typical approach to stabilization of an interconnected system that includes a highly uncertain component like a human operator is to assume passivity of the component block. Specifically, modeling of the operator has been addressed in this manner for several studies in bilateral teleoperation. It is observed from the figures provided in the article that the robots form and maintain the specified formation while they are maneuvered stably toward the desired references by the operator.

References

1.
T.
Hatanaka
,
N.
Chopra
,
M.
Fujita
and
M. W.
Spong
, “Passivity Based Control and Estimation in Networked Robotics”, Communications and Control Engineering Series, Springer Verlag,
2015
.
2.
T.
Hatanaka
,
N.
Chopra
and
M.
Fujita
, “Passivity-based Bilateral Human-Swarm-Interactions for Cooperative Robotic Networks and Human Passivity Analysis”, Proc. 54th IEEE Conference on Decision and Control,
2015
, pp.
1033
1039
.
3.
T.
Hatanaka
,
N.
Chopra
,
J.
Yamauchi
and
M.
Fujita
, “A Passivity-Based Approach to Human-Swarm Collaborations and Passivity Analysis of Human Operators,”
Trends in Control and Decision-Making for Human-Robot Collaboration Systems
,
Y.
Wang
and
F.
Zhang
(eds.),
Springer-Verlag
,
2017
, pp.
325
355
.
4.
D.
Lee
,
M.W.
Spong
, “Bilateral teleoperation of multiple cooperative robots over delayed communication network: theory”, Proc. IEEE International Conference on Robotics and Automation”, pp.
360
365
,
2005
.
5.
E.J.
Rodriguez-Seda
,
J.J.
Troy
,
C.A.
Erignac
,
P.
Murray
,
D.M.
Stipanovic
,
M.W.
Spong
,
“Bilateral teleoperation of multiple mobile agents: coordinated motion and collision avoidance”
,
IEEE Trans. Contr. Syst. Technol.
,
18
(
4
),
2010
, pp.
984
992
.
6.
A.
Franchi
,
C.
Secchi
,
M.
Ryll
,
H.H.
Bulthoff
,
P.R.
Giordano
,
“Shared control: Balancing autonomy and human assistance with a group of quadrotor UAVs”
,
IEEE Robotics and Automation Magazine
19
(
3
),
2012
, pp.
57
68
.
7.
J.-P.
de la Croix
,
M.
Egerstedt
, “Controllability characterizations of leader-based swarm interactions”, AAAI Symposium on Human Control of Bio-inspired Swarms,
2012
.
8.
M.
Egerstedt
,
J.-P.
de la Croix
,
H.
Kawashima
,
P.
Kingston
,
“Interacting with networks of mobile agents. Large-Scale Networks in Engineering and Life Sciences”
,
Springer-Verlag
,
2014
, pp.
199
224
.
9.
R.A.
Freeman
,
P.
Yang
and
K.M.
Lynch
, “Stability and convergence, properties of dynamic average consensus estimators”, Proc. 45th IEEE Conf. Decision and Control,
2006
, pp.
398
403
.
You do not currently have access to this content.