499 search results - page 76 / 100 » Using and Generating Environment Models for Indoor Mobile Ro... |
ATAL
2009
Springer
13 years 9 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...
ECAL
2001
Springer
14 years 1 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
WCNC
2008
IEEE
14 years 3 months ago
2008
IEEE
—In performance studies of vehicular ad hoc networks (VANETs), the underlying mobility model plays an important role. Since conventional mobile ad hoc network (MANET) routing pro...
AAAI
2012
11 years 11 months ago
2012
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
NIPS
2001
13 years 10 months ago
2001
We propose a new particle filter that incorporates a model of costs when generating particles. The approach is motivated by the observation that the costs of accidentally not trac...