Manipulation planning using learned symbolic state abstractions

Author:

Dearden Richard,Burbridge Chris

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference23 articles.

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2. L.P. Kaelbling, T. Lozano-Pérez, Hierarchical task and motion planning in the now, in: Proceedings of Robotics and Automation, ICRA, 2011, pp. 1470–1477.

3. Multivariate Density Estimation: Theory, Practice, and Visualization;Scott,2008

4. V.I. Morariu, B.V. Srinivasan, V.C. Raykar, R. Duraiswami, L.S. Davis, Automatic online tuning for fast Gaussian summation, in: Advances in Neural Information Processing Systems, NIPS, 2008.

5. Learning the geometric meaning of symbolic abstractions for manipulation planning;Burbridge,2012

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