A New Algorithm for Autonomous Outdoor Navigation of Robots that Can Fly and Drive
Amir Sharif, Sunghoon Choi, Hubert Roth
- Year
- 2019
- Citations
- 7
Abstract
Robots with the ability of dual mode locomotion can drive and fly. Autonomous selection of locomotion mode for minimum resource consumption is a challenge. Previous methods for dual mode navigation requires a 3D map of surroundings, but our proposed method requires a ground route on a 2D map. Locomotion Mode Selection (LMS) algorithm is developed for autonomous navigation of robots with dual mode locomotion. It is a path selection algorithm which selects either drive path or flight path depending upon their travel costs. A hybrid robot follows the selected path during autonomous outdoor dual mode navigation.
Keywords
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