In this paper, an action planning algorithm is presented for a reconfigurable hybrid leg-wheel mobile robot. Hybrid leg-wheel robots have recently receiving growing interest from the space community to explore planets, as they offer a solution to improve speed and mobility on uneven terrain. One critical issue connected with them is the study of an appropriate strategy to define when to use one over the other locomotion mode, depending on the soil properties and topology. Although this step is crucial to reach the full hybrid mechanism's potential, little attention has been devoted to this topic. Given an elevation map of the environment, the authors developed an action planner that selects the appropriate locomotion mode along an optimal path toward a point of scientific interest. This tool is helpful for the space mission team to decide the next move of the robot during the exploration. First, a candidate path is generated based on topology and specifications' criteria functions. Then, switching actions are defined along this path based on the robot's performance in each motion mode. Finally, the path is rated based on the energy profile evaluated using a dynamic simulator. The proposed approach is applied to a concept prototype of a reconfigurable hybrid wheel-leg robot for planetary exploration through extensive simulations and real experiments.


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    Title :

    Dynamic simulation-based action planner for a reconfigurable hybrid leg-wheel planetary exploration rover


    Additional title:

    Aktionsplaner auf Basis dynamischer Simulation für ein rekonfigurierbares hybrides Bein-Rad-Planetenfahrzeug


    Contributors:

    Published in:

    Advanced Robotics ; 24 , 8/9 ; 1219-1238


    Publication date :

    2010


    Size :

    20 Seiten, 16 Bilder, 1 Tabelle, 16 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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