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CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 8 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
KBSE
2007
IEEE
14 years 2 months ago
Synthesis of test purpose directed reactive planning tester for nondeterministic systems
We describe a model-based construction of an online tester for black-box testing of implementation under test (IUT). The external behavior of the IUT is modeled as an output obser...
Jüri Vain, Kullo Raiend, Andres Kull, Juhan P...
ICRA
2010
IEEE
159views Robotics» more  ICRA 2010»
13 years 6 months ago
An RRT-based path planner for use in trajectory imitation
We propose a more robust robot programming by demonstration system planner that produces a reproduction path which satisfies statistical constraints derived from demonstration traj...
Jonathan Claassens
IROS
2009
IEEE
154views Robotics» more  IROS 2009»
14 years 3 months ago
A control-based approach to task-constrained motion planning
Abstract— We consider the problem of planning collisionfree motions for general (i.e., possibly nonholonomic) redundant robots subject to task space constraints. Previous approac...
Giuseppe Oriolo, Marilena Vendittelli
ICRA
2009
IEEE
152views Robotics» more  ICRA 2009»
14 years 3 months ago
Reachability-guided sampling for planning under differential constraints
— Rapidly-exploring Random Trees (RRTs) are widely used to solve large planning problems where the scope prohibits the feasibility of deterministic solvers, but the efficiency o...
Alexander C. Shkolnik, Matthew Walter, Russ Tedrak...