Brain Storm Robotics: An Automatic Design Framework for Multi-Robot Systems

Yang，Jian; Shen，Yang; Shi，Yuhui

10.1109/CEC48606.2020.9185787

2020-07-01

IEEE Congress on Evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)

978-1-7281-6930-9

2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

1-8

JUL 19-24, 2020

null,null,ELECTR NETWORK

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Designing the collaborative mechanism is a fundamental problem for the multi-robot systems. It aims to determine the perception, communication, and motion strategies for a single robot to obtain the desired behavior at the system level. Generally, we can use manual design and automatic design, or the combination of the above two approaches for particular system behavior. With the increasing of task complexity and the uncertainty of surroundings, the adaptability and autonomy are hard to achieve with manual design approaches. By using the mechanism of learning or evolution, automatic design can generate sensor configurations, communication parameters, as well as control strategies automatically, which has been widely concerned in recent years. In this paper, the brainstorming method of collaborative problem-solving in human society is introduced into the design of multi-robot systems. This paper proposes an automatic design framework: Brain Storm Robotics(BSR), in which the system architecture, the representation of ideas, and the generation of new ideas are discussed. The effectiveness of the proposed BSR framework is verified by an example of designing an aggregation behavior for a swarm of robots. The results show that the control strategy designed by this framework is more efficient than that designed manually, which has outstanding development prospects. The future researches for the development of this potential framework are also discussed.

Automatic Design Brain Storm Optimization Fuzzy Control Multi-robot Systems Swarm Robotics

第一

英语

EI ; CPCI-S

National Key R&D Program of China[2017YFC0804003]

Computer Science ; Engineering ; Mathematical & Computational Biology ; Operations Research & Management Science

Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Mathematical & Computational Biology ; Operations Research & Management Science

WOS:000703998202046

20204109316880

Swarm intelligence ; Industrial robots ; Fuzzy control ; Machine design ; Storms ; Robot learning

Precipitation:443.3 ; Mechanical Design:601 ; Artificial Intelligence:723.4 ; Automatic Control Principles and Applications:731 ; Robotics:731.5 ; Robot Applications:731.6

2-s2.0-85092045222

Scopus

Southern University of Science and Technology (SUSTech),Dept. of Computer Science and Engineering,Shenzhen,China

Yang，Jian,Shen，Yang,Shi，Yuhui. Brain Storm Robotics: An Automatic Design Framework for Multi-Robot Systems[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2020:1-8.