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125
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CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 3 months ago
Incremental Sampling-based Algorithms for Optimal Motion Planning
During the last decade, incremental sampling-based motion planning algorithms, such as the Rapidly-exploring Random Trees (RRTs), have been shown to work well in practice and to po...
Sertac Karaman, Emilio Frazzoli
139
Voted
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
15 years 2 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
122
Voted
ICRA
1999
IEEE
146views Robotics» more  ICRA 1999»
15 years 8 months ago
Planning Tracking Motions for an Intelligent Virtual Camera
We consider the problem of automatically generating viewpoint motions for a virtual camera tracking a moving target. Given the target's trajectory, we plan the motion of a ca...
Tsai-Yen Li, Tzong-Hann Yu
123
Voted
MICCAI
2003
Springer
16 years 4 months ago
Needle Steering and Model-Based Trajectory Planning
Needle insertion for percutaneous therapies is formulated as a trajectory planning and control problem. A new concept of needle steering is developed and a Needle Manipulation Jaco...
Simon P. DiMaio, S. E. Salcudean
118
Voted
IROS
2007
IEEE
121views Robotics» more  IROS 2007»
15 years 10 months ago
Reactive deformation roadmaps: motion planning of multiple robots in dynamic environments
— We present a novel algorithm for motion planning of multiple robots amongst dynamic obstacles. Our approach is based on a new roadmap representation that uses deformable links ...
Russell Gayle, Avneesh Sud, Ming C. Lin, Dinesh Ma...