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CORR
2006
Springer
101views Education» more  CORR 2006»
13 years 5 months ago
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
We address the problem of autonomously learning controllers for visioncapable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for genera...
Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter,...
IROS
2006
IEEE
147views Robotics» more  IROS 2006»
13 years 11 months ago
A Hybrid Control Architecture for Autonomous Robotic Fish
— This paper presents a hybrid control architecture for autonomous robotic fishes which are able to swim and navigate in unknown or dynamically changing environments. It has a t...
Jindong Liu, Huosheng Hu, Dongbing Gu
ICRA
2009
IEEE
111views Robotics» more  ICRA 2009»
14 years 12 days ago
Model-based and model-free reinforcement learning for visual servoing
— To address the difficulty of designing a controller for complex visual-servoing tasks, two learning-based uncalibrated approaches are introduced. The first method starts by b...
Amir Massoud Farahmand, Azad Shademan, Martin J&au...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 12 months ago
Exploiting multiple robots to accelerate self-modeling
In previous work [8] a computational framework was demonstrated that allows a mobile robot to autonomously evolve models its own body for the purposes of adaptive behavior generat...
Josh C. Bongard
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 6 months ago
Behavior-based speciation for evolutionary robotics
This paper describes a speciation method that allows an evolutionary process to learn several robot behaviors using a single execution. Species are created in behavioral space in ...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...