Abstract
This paper presents a behavior decision strategy for the leg-wheel transformable robot, TurboQuad-V. By using real-time RGBD information combined with the gait selection policy concluded from the single-leg-wheel dynamic simulation, the robot can perform autonomous gait switching and basic obstacle avoidance on multiple terrains.
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