In this paper, a probabilistic fuzzy approach is proposed for mobile-robot reactive navigation using range sensors. The primary motivation is an integrated reactive navigation control system with good real-time perfor...In this paper, a probabilistic fuzzy approach is proposed for mobile-robot reactive navigation using range sensors. The primary motivation is an integrated reactive navigation control system with good real-time performance under uncertainty. To accomplish this aim, a probabilistic fuzzy logic system (PFLS) is introduced to range measurement and reactive navigation in local environments. PFLS is first adopted to handle the fuzzy and stochastic uncertainties in range sensors and to provide more precise distance information in unknown environments. Consequently these sensor data are sent to a probabilistic fuzzy rule-based inference system with reactive behaviors for local navigation. The feasibility and effectiveness of the proposed approach are verified by simulation and the experiments on a real mobile robot.展开更多
To satisfy the requirements of independent navigation in low cost multiple robots,a navigation frame of masterslave robots with only one master robot is introduced briefly.A range-only navigation algorithm for slave r...To satisfy the requirements of independent navigation in low cost multiple robots,a navigation frame of masterslave robots with only one master robot is introduced briefly.A range-only navigation algorithm for slave robots of low cost is presented for the navigation in unknown current.This algorithm only needs a master robot.The master is just a single mobile node which has high navigation performance.Observability of this master-salve system is theoretically analyzed.The conditions of slave robot trajectory under which observability is guaranteed are evaluated by a slave robot in real-time.The slave takes appropriate action to control its heading to achieve observability if observability is lost on the current trajectory.The navigation algorithm is implemented by a standard extended Kalman filter,and it is able to acquire accurate estimation of robot's position.The simulation results show its effectiveness of the proposed algorithm.展开更多
文摘In this paper, a probabilistic fuzzy approach is proposed for mobile-robot reactive navigation using range sensors. The primary motivation is an integrated reactive navigation control system with good real-time performance under uncertainty. To accomplish this aim, a probabilistic fuzzy logic system (PFLS) is introduced to range measurement and reactive navigation in local environments. PFLS is first adopted to handle the fuzzy and stochastic uncertainties in range sensors and to provide more precise distance information in unknown environments. Consequently these sensor data are sent to a probabilistic fuzzy rule-based inference system with reactive behaviors for local navigation. The feasibility and effectiveness of the proposed approach are verified by simulation and the experiments on a real mobile robot.
基金Natural Science Foundation of Liaoning Province(20102236)
文摘To satisfy the requirements of independent navigation in low cost multiple robots,a navigation frame of masterslave robots with only one master robot is introduced briefly.A range-only navigation algorithm for slave robots of low cost is presented for the navigation in unknown current.This algorithm only needs a master robot.The master is just a single mobile node which has high navigation performance.Observability of this master-salve system is theoretically analyzed.The conditions of slave robot trajectory under which observability is guaranteed are evaluated by a slave robot in real-time.The slave takes appropriate action to control its heading to achieve observability if observability is lost on the current trajectory.The navigation algorithm is implemented by a standard extended Kalman filter,and it is able to acquire accurate estimation of robot's position.The simulation results show its effectiveness of the proposed algorithm.
