JI Daxiong, LIU Jian. A Navigation Method for Multiple Robots Based on a Single Mobile Node[J]. 机器人, 2012, 34(6): 764-768. DOI: 10.3724/SP.J.1218.2012.00764
引用本文: JI Daxiong, LIU Jian. A Navigation Method for Multiple Robots Based on a Single Mobile Node[J]. 机器人, 2012, 34(6): 764-768. DOI: 10.3724/SP.J.1218.2012.00764
JI Daxiong, LIU Jian. A Navigation Method for Multiple Robots Based on a Single Mobile Node[J]. ROBOT, 2012, 34(6): 764-768. DOI: 10.3724/SP.J.1218.2012.00764
Citation: JI Daxiong, LIU Jian. A Navigation Method for Multiple Robots Based on a Single Mobile Node[J]. ROBOT, 2012, 34(6): 764-768. DOI: 10.3724/SP.J.1218.2012.00764

A Navigation Method for Multiple Robots Based on a Single Mobile Node

A Navigation Method for Multiple Robots Based on a Single Mobile Node

  • 摘要: 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.

     

    Abstract: 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.

     

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