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AAAI
2010
13 years 6 months ago
Automatic Derivation of Finite-State Machines for Behavior Control
Finite-state controllers represent an effective action selection mechanisms widely used in domains such as video-games and mobile robotics. In contrast to the policies obtained fr...
Blai Bonet, Héctor Palacios, Hector Geffner
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
13 years 10 months ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
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...
Krister Wolff, Peter Nordin
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 6 months ago
Avida-MDE: a digital evolution approach to generating models of adaptive software behavior
Increasingly, high-assurance applications rely on autonomic systems to respond to changes in their environment. The inherent uncertainty present in the environment of autonomic sy...
Heather Goldsby, Betty H. C. Cheng
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
13 years 11 months ago
Online Affect Detection and Adaptation in Robot Assisted Rehabilitation for Children with Autism
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD) where the robot can detect the ...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...