• Title/Summary/Keyword: Distributed Multi-agent System Mobile Robot

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Finite-Time Sliding Mode Controller Design for Formation Control of Multi-Agent Mobile Robots (다중 에이전트 모바일 로봇 대형제어를 위한 유한시간 슬라이딩 모드 제어기 설계)

  • Park, Dong-Ju;Moon, Jeong-Whan;Han, Seong-Ik
    • The Journal of Korea Robotics Society
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    • v.12 no.3
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    • pp.339-349
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    • 2017
  • In this paper, we present a finite-time sliding mode control (FSMC) with an integral finite-time sliding surface for applying the concept of graph theory to a distributed wheeled mobile robot (WMR) system. The kinematic and dynamic property of the WMR system are considered simultaneously to design a finite-time sliding mode controller. Next, consensus and formation control laws for distributed WMR systems are derived by using the graph theory. The kinematic and dynamic controllers are applied simultaneously to compensate the dynamic effect of the WMR system. Compared to the conventional sliding mode control (SMC), fast convergence is assured and the finite-time performance index is derived using extended Lyapunov function with adaptive law to describe the uncertainty. Numerical simulation results of formation control for WMR systems shows the efficacy of the proposed controller.

Study for Control Algorithm of Robust Multi-Robot in Dynamic Environment (동적인 환경에서 강인한 멀티로봇 제어 알고리즘 연구)

  • 홍성우;안두성
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.249-254
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    • 2001
  • Abstract In this paper, we propose a method of cooperative control based on artifical intelligent system in distributed autonomous robotic system. In general, multi-agent behavior algorithm is simple and effective for small number of robots. And multi-robot behavior control is a simple reactive navigation strategy by combining repulsion from obstacles with attraction to a goal. However when the number of robot goes on increasing, this becomes difficult to be realized because multi-robot behavior algorithm provide on multiple constraints and goals in mobile robot navigation problems. As the solution of above problem, we propose an architecture of fuzzy system for each multi-robot speed control and fuzzy-neural network for obstacle avoidance. Here, we propose an architecture of fuzzy system for each multi-robot speed control and fuzzy-neural network for their direction to avoid obstacle. Our focus is on system of cooperative autonomous robots in environment with obstacle. For simulation, we divide experiment into two method. One method is motor schema-based formation control in previous and the other method is proposed by this paper. Simulation results are given in an obstacle environment and in an dynamic environment.

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Micro soccer-playing robot based on the centralized approach (중앙집중 제어에 근거한 마이크로 축구경기 로봇)

  • ;;;Sugisaka, M.
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.621-624
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    • 1997
  • This paper presents the design procedure for soccer-playing rovots based on the centralized approach. Using a fast vision system, we obtain the configuration of each robot and then the host computer computes the desired motion and commands each robot directly via RF communication. The robot soccer game has a lot of problems such as obstacle avoidance, coordination between robots, dribbling the ball, and so on. To implement such motions, we think that the centralized approach seems to be more powerful than the distributed approach. We describe the technical tips for developing the robots in detail here and explain our strategy for getting the scores.

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