Learning gas distribution models using sparse Gaussian process mixtures

Author:

Stachniss Cyrill,Plagemann Christian,Lilienthal Achim J.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference35 articles.

1. Blanco, J. L., Gonzalez, J., & Lilienthal, A. J. (2009). An efficient approach to probabilistic gas distribution mapping. In Proc. of the IEEE int. conf. on robotics & automation (ICRA). Submitted to ICRA 2009.

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3. Driessens, K., Ramon, J., & Gärtner, T. (2006). Graph kernels and Gaussian processes for relational reinforcement learning. Machine Learning.

4. DustBot (2008). DustBot—Networked and Cooperating Robots for Urban Hygiene. http://www.dustbot.org .

5. Frese, U. (2006). Treemap: An o(log n) algorithm for indoor simultaneous localization and mapping. Journal of Autonomous Robots, 21(2), 103–122.

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