94 search results - page 7 / 19 » Piecemeal Learning of an Unknown Environment |
ESSMAC
2003
Springer
14 years 1 months ago
2003
Springer
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
AAAI
1994
13 years 10 months ago
1994
Using the methods demonstrated in this paper, a robot with an unknown sensorimotor system can learn sets of features and behaviors adequate to explore a continuous environment and...
IROS
2009
IEEE
14 years 3 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
JAIR
2006
13 years 8 months ago
2006
Real-time search methods are suited for tasks in which the agent is interacting with an initially unknown environment in real time. In such simultaneous planning and learning prob...
AROBOTS
2002
13 years 8 months ago
2002
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...