TY - GEN
T1 - Planning behaviors of a modular robot
T2 - 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
AU - Yoshida, Eiichi
AU - Kurokawa, Haruhisa
AU - Kamimura, Akiya
AU - Tomita, Kohji
AU - Kokaji, Shigeru
AU - Murata, Satoshi
PY - 2004
Y1 - 2004
N2 - A Method for behavior planning is presented for a modular robot that applies a randomized planner to coherent structure of the robot To cope with difficulty in planning of many degrees of freedom (DOFs) of a modular robot, coherent structure is introduced in terms of control system and robot configuration. As the control system, a simple phase synchronization mechanism is introduced that can control die robot with many DOFs with reduced number of parameters. Together with symmetrical configuration, this control system generates various dynamic motions. In order to plan the behaviors of the modular robot determined by the parameters of the control system, we adopt a randomized planner called rapidly exploring random trees (RRTs). This can benefit from a number of advantages of RRT planner, including simple implementation, uniform search, and applicability to a dynamic system with differential constraints. By exploring parameter space of the coherent control system, behaviors including dynamic motions can be planned. We have applied the proposed planner to M-TRAN modular robot to demonstrate the effectiveness of the proposed method through preliminary simulation results.
AB - A Method for behavior planning is presented for a modular robot that applies a randomized planner to coherent structure of the robot To cope with difficulty in planning of many degrees of freedom (DOFs) of a modular robot, coherent structure is introduced in terms of control system and robot configuration. As the control system, a simple phase synchronization mechanism is introduced that can control die robot with many DOFs with reduced number of parameters. Together with symmetrical configuration, this control system generates various dynamic motions. In order to plan the behaviors of the modular robot determined by the parameters of the control system, we adopt a randomized planner called rapidly exploring random trees (RRTs). This can benefit from a number of advantages of RRT planner, including simple implementation, uniform search, and applicability to a dynamic system with differential constraints. By exploring parameter space of the coherent control system, behaviors including dynamic motions can be planned. We have applied the proposed planner to M-TRAN modular robot to demonstrate the effectiveness of the proposed method through preliminary simulation results.
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M3 - Conference contribution
AN - SCOPUS:14044278836
SN - 0780384636
T3 - 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
SP - 2056
EP - 2061
BT - 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Y2 - 28 September 2004 through 2 October 2004
ER -