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GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
14 years 1 months ago
Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile Robot
This paper describes an evolutionary way to acquire behaviors of a mobile robot for recognizing environments. We have proposed AEM (Action-based Environment Modeling) approach for...
Seiji Yamada
AR
2002
113views more  AR 2002»
13 years 10 months ago
Final-state control of a two-link cat robot
: This paper deals with twisting motion of a falling cat robot by two torque inputs around her waist. The cat robot consists of two rigid columns and has internally two actuators a...
Zhiqiang Weng, Hidekazu Nishimura
CORR
2011
Springer
136views Education» more  CORR 2011»
13 years 1 months ago
Reinforcement Learning for Agents with Many Sensors and Actuators Acting in Categorizable Environments
In this paper, we confront the problem of applying reinforcement learning to agents that perceive the environment through many sensors and that can perform parallel actions using ...
Enric Celaya, Josep M. Porta
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
14 years 4 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
SEAL
1998
Springer
14 years 2 months ago
Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...
Yong-Jae Kim, Dong-Han Kim, Jong-Hwan Kim