Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation.
Humanoids, pp. 820-826, 2018.
In this paper, we propose a new approach to humanoid navigation through cluttered environments that exploits knowledge about different obstacle classes and selects appropriate robot actions. To classify objects from RGB images and decide whether an obstacle can be overcome by the robot with a corresponding action, e.g., by pushing or carr...More
Full Text (Upload PDF)
PPT (Upload PPT)