Passive Distance Learning for Robot Navigation

  title={Passive Distance Learning for Robot Navigation},
  author={Sven Koenig and Reid G. Simmons},
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or learned from scratch through active exploration, such approaches are tedious and time-consuming. Our approach is to provide the robot with the topological and geometrical constraints that are easily obtainable by humans, and have the robot learn the rest while in the course of performing its tasks. We present GROW-BW, an… CONTINUE READING
Highly Cited
This paper has 85 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 54 extracted citations

85 Citations

Citations per Year
Semantic Scholar estimates that this publication has 85 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…