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» An optimization approach to planning for mobile manipulation
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97
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ICNC
2009
Springer
15 years 6 months ago
Model-Free Learning and Control in a Mobile Robot
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...
79
Voted
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
15 years 6 months ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner
SAC
2003
ACM
15 years 4 months ago
reality: a Scalable Intelligent Travel Planner
Many information systems are used in a problem solving context. Examples are travel planning systems, catalogs in electronic commerce, or agenda planning systems. They can be made...
Marc Torrens, Patrick Hertzog, Loic Samson, Boi Fa...
94
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RSS
2007
119views Robotics» more  RSS 2007»
15 years 1 months ago
Emergent Task Allocation for Mobile Robots
— Multi-robot systems require efficient and accurate planning in order to perform mission-critical tasks. However, algorithms that find the optimal solution are usually computa...
Nuzhet Atay, O. Burçhan Bayazit
119
Voted
AROBOTS
2002
126views more  AROBOTS 2002»
14 years 11 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson