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ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
14 years 16 days ago
Single-Query Motion Planning with Utility-Guided Random Trees
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Brendan Burns, Oliver Brock
ICRA
2000
IEEE
176views Robotics» more  ICRA 2000»
13 years 9 months ago
RRT-Connect: An Efficient Approach to Single-Query Path Planning
A simple and efficient randomized algorithm is presented for solving single-query path planning problems in high-dimensional configuration spaces. The method works by incrementall...
James J. Kuffner Jr., Steven M. LaValle
AIPS
2006
13 years 7 months ago
Reconfigurable Path Planning for an Autonomous Unmanned Aerial Vehicle
In this paper, we present a motion planning framework for a fully deployed autonomous unmanned aerial vehicle which integrates two sample-based motion planning techniques, Probabi...
Mariusz Wzorek, Patrick Doherty
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 6 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
IJRR
2011
174views more  IJRR 2011»
13 years 1 months ago
Bounding on rough terrain with the LittleDog robot
— In this paper we develop an RRT-based motion planner that achieved bounding in simulation with the LittleDog robot over extremely rough terrain. LittleDog is a quadruped robot ...
Alexander C. Shkolnik, Michael Levashov, Ian R. Ma...