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2007
136views Robotics» more  RSS 2007»
13 years 6 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
ICRA
2008
IEEE
265views Robotics» more  ICRA 2008»
13 years 11 months ago
Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning
— Legged robots represent great promise for transport in unstructured environments. However, it has been difficult to devise motion planning strategies that achieve a combinatio...
Subramanian Ramamoorthy, Benjamin Kuipers
IROS
2006
IEEE
175views Robotics» more  IROS 2006»
13 years 11 months ago
Toward Online Probabilistic Path Replanning in Dynamic Environments
— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
Roland Philippsen, Björn Jensen, Roland Siegw...
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 3 months ago
Trajectory prediction in cluttered voxel environments
Abstract— Trajectory planning and optimization is a fundamental problem in articulated robotics. It is often viewed as a two phase problem of initial feasible path planning aroun...
Nikolay Jetchev, Marc Toussaint
ICRA
2005
IEEE
152views Robotics» more  ICRA 2005»
13 years 10 months ago
An Incremental Harmonic Function-based Probabilistic Roadmap Approach to Robot Path Planning
— A new hybrid motion planning technique based on Harmonic Functions (HF) and Probabilistic Roadmaps (PRM) is presented. The proposed approach consists of incrementally building ...
Moslem Kazemi, Mehran Mehrandezh, Kamal K. Gupta