From primitive behaviors to goal-directed behavior using affordances

Date

2007-12-01

Author

Doǧar, Mehmet R.
Çakmak, Maya
Uǧur, Emre
Şahin, Erol

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

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In this paper, we studied how a mobile robot equipped with a 3D laser scanner can start from primitive behaviors and learn to use them to achieve goal-directed behaviors. For this purpose, we propose a learning scheme that is based on the concept of "affordances", where the robot first learns about the different kind of effects it can create in the environment and then links these effects with the perception of the initial environment and the executed primitive behavior. It uses these learned relations to create certain effects in the environment and achieve more complex behaviors.

Subject Keywords

Cognitive robotics, Training data, Animals, Intelligent robots, USA Councils, Mobile robots, Humans, Parallel robots, Decision making

URI

https://hdl.handle.net/11511/34926

DOI

https://doi.org/10.1109/iros.2007.4399469

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

M. R. Doǧar, M. Çakmak, E. Uǧur, and E. Şahin, “From primitive behaviors to goal-directed behavior using affordances,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34926.