Knowledge-sharing techniques for Egocentric Navigation

Date

2003-10-08

Author

KESKİNPALA, Türker
Koku, Ahmet Buğra
WİLKES, D Mitch
KAWAMURA, kazuhiko

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

2
views

0
downloads

Teams of humans and robots working together can provide effective solutions to problems. In such applications, effective human-robot teaming relies on being able to communicate information about the current perception or understanding of the environment. In this paper, human-robot teaming on navigational tasks is discussed The role of the human user will be to specify the goal point(s) for the robot, and also to interact with the robot in the event of perceptual errors. A novel navigation method, Egocentric Navigation (ENav), has been developed based on egocentric representations. In this paper, two knowledge sharing methods are described which exploit the characteristics of ENav. In the first method, robots share Landmark EgoSpheres, and in the second method the robot shares it Sensory EgoSphere with the human user for visual perception correction.

Subject Keywords

Human-robot teaming, Egocentric navigation, Sensory egosphere, Landmark egosphere

URI

https://hdl.handle.net/11511/48517

Collections

Department of Mechanical Engineering, Conference / Seminar