Probabilistic stable motion planning with stability uncertainty for articulated vehicles on challenging terrains
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10514-015-9474-8.pdf
Reference34 articles.
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3. Brooks, A., Makarenko, A., Williams, S., & Durrant-Whyte, H. (2006). Parametric POMDPs for planning in continuous state spaces. Robotics and Autonomous Systems, 54(11), 887–897.
4. Candido, S., Davidson, J., & Hutchinson, S. (2010). Exploiting domain knowledge in planning for uncertain robot systems modeled as pomdps. In Proceedings of IEEE International Conference on Robotics and Automation (pp. 3596–3603). Alaska, USA.
5. Coelho, P., & Nunes, U. (2005). Path-following control of mobile robots in presence of uncertainties. IEEE Transactions on Robotics, 21(2), 252–261.
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