103 search results - page 15 / 21 » Constrained Motion Planning in Discrete State Spaces |
ATAL
2009
Springer
13 years 8 months ago
2009
Springer
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
Vision-based m,otion captu.ring of hand articulation i s - a ch,allengin,g task, since th,e hand presents a m,otion of high, degrees of freedom.. Model-based approach,es could he ...
AR
2007
13 years 7 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
d Abstract) Thibault Kruse, Alexandra Kirsch, E. Akin Sisbot, Rachid Alami A robot moving in the presence of humans is highly constrained by the dynamic environment and the need t...
AIPS
2007
13 years 10 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...