Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation.

Peter Regier
Peter Regier
Philipp Karkowski
Philipp Karkowski

Humanoids, pp. 820-826, 2018.

Cited by: 4|Views23
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Abstract:

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

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