AIPS
2011
13 years 4 months ago
2011
Consider the task of a mobile robot autonomously navigating through an environment while detecting and mapping objects of interest using a noisy object detector. The robot must re...
CONNECTION
2006
14 years 14 days ago
2006
This article describes a developmental system based on information theory implemented on a real robot that learns a model of its own sensory and actuator apparatus. There is no in...
NIPS
2003
14 years 1 months ago
2003
We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” ...
ISER
1995
Springer
14 years 4 months ago
1995
Springer
We review the current state of research in autonomous mobile robots and conclude that there is an inadequate basis for predicting the reliability and behavior of robots operating ...
ICRA
1995
IEEE
14 years 4 months ago
1995
IEEE
This paper presents a method of vision-based reinforcement learning by which a robot learns to shoot a ball into a goal, and discusses several issues in applying the reinforcement...
ROBOCUP
2000
Springer
14 years 4 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...
VW
1998
Springer
14 years 4 months ago
1998
Springer
Abstract. This paper presents Webots: a realistic mobile robot simulator allowing a straightforward transfer to real robots. The simulator currently support the Khepera mobile robo...
KES
1998
Springer
14 years 4 months ago
1998
Springer
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
GECCO
2003
Springer
14 years 5 months ago
2003
Springer
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
CEC
2003
IEEE
14 years 5 months ago
2003
IEEE
We introduce a technique that allows a real robot to execute real-time learning, in which GP and RL are integrated. In our former research, we showed the result of an experiment wi...