Title :
Fuzzy Force-Feedback Augmentation for Manual Control of Multirobot System
Author :
Linda, Ondrej ; Manic, Milos
Author_Institution :
Dept. of Comput. Sci., Univ. of Idaho, Idaho Falls, ID, USA
Abstract :
Multirobot systems represent an enticing area of research with numerous real-world applications. Teams of multiple robots can achieve tasks that are more difficult or even impossible for a single robot, e.g., environment exploration, search and rescue, or surveillance operations. In a previous work, the authors developed a system for the single-operator manual control of a multirobot system. However, such teleoperation systems commonly suffer from inadequate perception of the remote environment. This paper extends the previously presented work by adding a fuzzy force-feedback (FFF) augmentation for the manual control of a multirobot system. The FFF augmentation delivers additional information to the operator. Moreover, it guides the operator toward the smooth control of the robotic group. The force feedback was generated by a system of fuzzy controllers monitoring the state of the multirobot group. The performance of the system was evaluated in a virtual environment, and the recorded forces were explored in various scenarios. The force-feedback augmentation demonstrated the following improvements: 1) operator´s increased obstacle awareness and 2) improved maneuvering performance.
Keywords :
collision avoidance; force feedback; fuzzy control; multi-robot systems; environment exploration; fuzzy controllers; fuzzy force-feedback augmentation; manual control; multiple robots; multirobot system; obstacle awareness; rescue operations; search operations; surveillance operations; teleoperation systems; Batteries; Control systems; Equations; Generators; Mathematical model; Supercapacitors; System-on-a-chip; Force feedback; fuzzy logic control; multirobot system; teleoperation system;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2010.2068532