DocumentCode :
250070
Title :
Controlling a team of robots with a single input
Author :
Ayanian, Nora ; Spielberg, Andrew ; Arbesfeld, Matthew ; Strauss, Jason ; Rus, Daniela
Author_Institution :
Comput. Sci. Dept., USC, Los Angeles, CA, USA
fYear :
2014
fDate :
May 31 2014-June 7 2014
Firstpage :
1755
Lastpage :
1762
Abstract :
We present a novel end-to-end solution for distributed multirobot coordination that translates multitouch gestures into low-level control inputs for teams of robots. Highlighting the need for a holistic solution to the problem of scalable human control of multirobot teams, we present a novel control algorithm with provable guarantees on the robots´ motion that lends itself well to input from modern tablet and smartphone interfaces. Concretely, we develop an iOS application in which the user is presented with a team of robots and a bounding box (prism). The user carefully translates and scales the prism in a virtual environment; these prism coordinates are wirelessly transferred to our server and then received as input to distributed onboard robot controllers. We develop a novel distributed multirobot control policy which provides guarantees on convergence to a goal with distance bounded linearly in the number of robots, and avoids interrobot collisions. This approach allows the human user to solve the cognitive tasks such as path planning, while leaving precise motion to the robots. Our system was tested in simulation and experiments, demonstrating its utility and effectiveness.
Keywords :
collision avoidance; control engineering computing; distributed control; gesture recognition; human-robot interaction; mobile computing; motion control; multi-robot systems; operating systems (computers); smart phones; bounding box; control algorithm; distributed multirobot control policy; distributed multirobot coordination; iOS application; interrobot collision avoidance; low-level control inputs; multitouch gestures; operating systems; path planning; robot motion; robot team control; smartphone interface; tablet interface; virtual environment; Collision avoidance; Convergence; Force; Navigation; Robot kinematics; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/ICRA.2014.6907088
Filename :
6907088
Link To Document :
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