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» Adaptable Path Planning in Regionalized Environments
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NIPS
1993
13 years 8 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore
AROBOTS
2008
158views more  AROBOTS 2008»
13 years 7 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
IROS
2008
IEEE
142views Robotics» more  IROS 2008»
14 years 1 months ago
Probabilistic mapping of dynamic obstacles using Markov chains for replanning in dynamic environments
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
Florian Rohrmüller, Matthias Althoff, Dirk Wo...
ICRA
2006
IEEE
217views Robotics» more  ICRA 2006»
14 years 1 months ago
Complete Coverage Control for Nonholonomic Mobile Robots in Dynamic Environments
— We study the problem of generating continuous steering control for robots to completely cover a bounded region over a finite time. First, we pack the area by disks of minimum ...
Yi Guo, Mohanakrishnan Balakrishnan
AROBOTS
2002
98views more  AROBOTS 2002»
13 years 7 months ago
Dynamically-Stable Motion Planning for Humanoid Robots
We present an approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals. Given a geometric model of t...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...