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ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 27 days ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
15 years 8 months ago
Planning fireworks trajectories for steerable medical needles to reduce patient trauma
— Accurate needle insertion in 3D environment is always a grand challenge. When multiple targets are located in the tissue, a procedure of inserting multiple needles from a singl...
Jijie Xu, Vincent Duindam, Ron Alterovitz, Jean Po...
ICRA
2002
IEEE
94views Robotics» more  ICRA 2002»
15 years 6 months ago
Sensor Planning and Control in a Dynamic Environment
This paper presents an approach to the problem of controlling the configuration of a team of mobile agents equipped with cameras so as to optimize the quality of the estimates de...
John R. Spletzer, Camillo J. Taylor
IROS
2008
IEEE
151views Robotics» more  IROS 2008»
15 years 7 months ago
Transition-based RRT for path planning in continuous cost spaces
This paper presents a new method called Transition-based RRT (T-RRT) for path planning problems in continuous cost spaces. It combines the exploration strength of the RRT algorith...
Leonard Jaillet, Juan Cortés, Thierry Sim&e...
IROS
2009
IEEE
151views Robotics» more  IROS 2009»
15 years 8 months ago
Stochastic mobility-based path planning in uncertain environments
— The ability of mobile robots to generate feasible trajectories online is an important requirement for their autonomous operation in unstructured environments. Many path generat...
Gaurav Kewlani, Genya Ishigami, Karl Iagnemma