TY - GEN
T1 - Algorithm for swarming and following behaviors of multiple mobile robots
AU - Otsuka, Akimasa
AU - Nagata, Fusaomi
AU - Habib, Maki K.
AU - Watanabe, Keigo
PY - 2015
Y1 - 2015
N2 - Swarm robotics has been focused in order to express more advanced performance using lower performance devices. Swarming behaviors of multiple robots are need for working in industries or in places where a human cannot enter. In the natural world, some creatures which have simple biological function can acquire higher intelligence by swarming. Therefore, biomimetic method is effective in order to establish an efficient swarming system. In the swarming robotic system, because cost of the system increases in proportion to number of a robot, devices of robots are required to be simple. Furthermore, an implemented algorithm into robots should be designed considering a simplification of the individual robot with keeping correctness of the model of the robots. In this paper, a simple algorithm for swarming and following behaviors is proposed assuming that robots had only three sensors to detect distance information. The algorithm consists of nine patterns according to information of three PSD sensors. In the proposed algorithm, each robot's movement is determined based on the inputs of three distance sensors. Then, a virtual simulator for multiple mobile robotics is developed to evaluate the performance of the algorithm, in which the movement of a virtual robot is modeled based on an actual three-wheeled mobile robot. It is assumed in the simulator that the robot moves only to six directions and rotates counterclockwise or clockwise on the position; the robots do not communicate with each other; shape and kinematics of the robot are simplified in the two-dimensional plane. Several simulations using the proposed algorithm are conducted to evaluate the performance for the swarming and following behaviors. Results of the simulations show that the proposed algorithm can provide swarming and following behaviors.
AB - Swarm robotics has been focused in order to express more advanced performance using lower performance devices. Swarming behaviors of multiple robots are need for working in industries or in places where a human cannot enter. In the natural world, some creatures which have simple biological function can acquire higher intelligence by swarming. Therefore, biomimetic method is effective in order to establish an efficient swarming system. In the swarming robotic system, because cost of the system increases in proportion to number of a robot, devices of robots are required to be simple. Furthermore, an implemented algorithm into robots should be designed considering a simplification of the individual robot with keeping correctness of the model of the robots. In this paper, a simple algorithm for swarming and following behaviors is proposed assuming that robots had only three sensors to detect distance information. The algorithm consists of nine patterns according to information of three PSD sensors. In the proposed algorithm, each robot's movement is determined based on the inputs of three distance sensors. Then, a virtual simulator for multiple mobile robotics is developed to evaluate the performance of the algorithm, in which the movement of a virtual robot is modeled based on an actual three-wheeled mobile robot. It is assumed in the simulator that the robot moves only to six directions and rotates counterclockwise or clockwise on the position; the robots do not communicate with each other; shape and kinematics of the robot are simplified in the two-dimensional plane. Several simulations using the proposed algorithm are conducted to evaluate the performance for the swarming and following behaviors. Results of the simulations show that the proposed algorithm can provide swarming and following behaviors.
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U2 - 10.1109/IECON.2015.7392208
DO - 10.1109/IECON.2015.7392208
M3 - Conference contribution
AN - SCOPUS:84973138913
T3 - IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
SP - 869
EP - 874
BT - IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015
Y2 - 9 November 2015 through 12 November 2015
ER -