288 search results - page 18 / 58 » Covisibility-Based Map Learning Method for Mobile Robots |
92
Voted
ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
84
Voted
ROBOCUP
2000
Springer
15 years 1 months ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
79
Voted
ICRA
2007
IEEE
15 years 4 months ago
2007
IEEE
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
92
Voted
ISRR
2005
Springer
15 years 3 months ago
2005
Springer
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
80
Voted
IROS
2007
IEEE
15 years 4 months ago
2007
IEEE
— Recently, Linear Temporal Logic (LTL) has been successfully applied to high-level task and motion planning problems for mobile robots. One of the main attributes of LTL is its ...