A New Algorithm for Autonomous Outdoor Navigation of Robots that Can Fly and Drive
Amir Sharif, Sunghoon Choi, Hubert Roth
- 发表年份
- 2019
- 引用次数
- 7
摘要
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.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002