1270 search results - page 31 / 254 » Dogged Learning for Robots |
ROBOCUP
2005
Springer
14 years 2 months ago
2005
Springer
One of the most formidable issues of RL application to real robot tasks is how to find a suitable state space, and this has been much more serious since recent robots tends to hav...
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
Learning by human tutelage means that a human being guides the attention of a robot or agent in order to teach it a given concept. This kind of learning is very important to devel...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
AAAI
1998
13 years 10 months ago
1998
Learning on real robots in an real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be ...