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CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 10 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
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 8 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
ICRA
1999
IEEE
146views Robotics» more  ICRA 1999»
14 years 2 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
MICCAI
2003
Springer
14 years 11 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
IROS
2007
IEEE
121views Robotics» more  IROS 2007»
14 years 4 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...