임베디드 군집 시스템의 상호작용 기반 간접적 군집 구성 제어
Indirect Configuration Control of Embedded Swarm System Based on Human-Swarm Interaction
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Embedded swarm systems consist of a large number of robots that use local control laws based on spatial information nearby environment and adjacent robots. In this paper, we propose a new scheme for indirect swarm configuration in swarm interaction system to adapt the swarm operation according to the desired goal. Also, we provide a method for the operator to observe the state of the swarm, which results in providing appropriate input to the swarm. We analyze the stability properties of the proposed swarm system and show the simulation results.
Abstract
Embedded swarm systems consist of a large number of robots that use local control laws based on spatial information nearby environment and adjacent robots. In this paper, we propose a new scheme for indirect swarm configuration in swarm interaction system to adapt the swarm operation according to the desired goal. Also, we provide a method for the operator to observe the state of the swarm, which results in providing appropriate input to the swarm. We analyze the stability properties of the proposed swarm system and show the simulation results.
참고문헌 (16)
- A. Kolling, "Human Interaction with Robot Swarms: a Survey", Jounal of IEEE Transaction on Human-Machine Systems, 46(1), pp.9~26 (2016)
- J. Jana, "Multi-agent Systems for Decentralized Control and Adaptive Interaction Between Humans and Machines for Industrial Environments", Proceedings of IEEE International Conference System Engineering and Technology, pp.95~100 (2017)
- J. C. Barca, "Swarm Robotics Reviewed", Journal of Robotica, 31(3), pp.345~359 (2013)
- M. Brambilla, "Swarm Robotics: a Review from the Swarm Engineering Perspective", Journal of Swarm Intelligence, 7(1), pp.1~41 (2013)
- Y. Tan, "Research Advance in Swarm Robotics", Journal of Defence Technology, 9(1), pp.18~39 (2013)
- A. Kolling, "Human Interaction with Robot Swarms: a Survey", Jounal of IEEE Transaction on Human-Machine Systems, 46(1), pp.9~26 (2016)
- M. Lewis, "Human Interaction with Multiple Remote Robots", Journal of Reviews of Human Factors and Ergonomics, 9(1), pp.131~174 (2013)
- S. Kerman, "Supporting Human Interaction with Robust Robot Swarms", Proceedings of International Conference of Resilient Control Systems, pp.197~202 (2011)
- J.-P. de la Croix, "A Control Lyapunov Function Approach to Human-swarm Interactions", Proceedings of IEEE American Control Conference, pp.4368~4373 (2015)
- B. Tabibian, "Towards a Cognitively-based Analytic Model of Human Control of Swarms", Proceedings of AAAI Spring Symposium Series, pp.68~73 (2014)
- K. Sycara, "Abstraction for Analytical Models from Cognitive Models of Human Control of Robotic Swarms", Proceedings of International Conference Cognitive Model, pp.13~18 (2015)
- P. Walker, "Human Control of Leader-based Swarms", Proceedings of IEEE International Conference Systems Man, Cybemetics, pp.2712~2717 (2013)
- M. Goodrich, "Toward Human Interaction with Bio-inspired Robot Teams", Proceedings of International Conference Systems Man, Cybemetics, pp.2859~2864 (2011)
- B. Pendleton, "Scalable Human Interaction with Robotic Swarms", Proceedings of American Institute of Aeronautics and Astronautics, pp.4731~ (2013)
- P. Walker, "Human Control of Robot Swarms with Dynamic Leaders", Proceedings of IEEE, 2014, 1108~1113
- 박용주, "생체 환경 정보 센싱 모듈 및 농장 제어 게이트웨이를 이용한 스마트 낙농 관리 시스템 개발", 대한임베디드공학회논문지, 11(1), pp.15~20 (2016), 대한임베디드공학회[DOI]
