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» Evaluation Strategies for Planning as Satisfiability
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FSR
2007
Springer
135views Robotics» more  FSR 2007»
14 years 2 months ago
State Space Sampling of Feasible Motions for High Performance Mobile Robot Navigation in Highly Constrained Environments
Sampling in the space of controls or actions is a well-established method for ensuring feasible local motion plans. However, as mobile robots advance in performance and competence ...
Thomas M. Howard, Colin J. Green, Alonzo Kelly
INFORMS
2010
145views more  INFORMS 2010»
13 years 6 months ago
An Automated Intensity-Modulated Radiation Therapy Planning System
We design and implement an intensity-modulated radiation therapy (IMRT) plan generation technology that effectively and efficiently optimizes beam geometry as well as beam intens...
Shabbir Ahmed, Ozan Gozbasi, Martin W. P. Savelsbe...
ATAL
2009
Springer
14 years 2 months ago
Improving adjustable autonomy strategies for time-critical domains
As agents begin to perform complex tasks alongside humans as collaborative teammates, it becomes crucial that the resulting humanmultiagent teams adapt to time-critical domains. I...
Nathan Schurr, Janusz Marecki, Milind Tambe
AI
1999
Springer
13 years 7 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
ICRA
2006
IEEE
93views Robotics» more  ICRA 2006»
14 years 1 months ago
A Greedy Strategy for Tracking a Locally Predictable Target among Obstacles
— Target tracking among obstacles is an interesting class of motion planning problems that combine the usual motion constraints with robot sensors’ visibility constraints. In t...
Tirthankar Bandyopadhyay, Yuanping Li, Marcelo H. ...