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» Robotic Control Using Hierarchical Genetic Programming
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GECCO
1999
Springer
167views Optimization» more  GECCO 1999»
13 years 11 months ago
A Biologically Inspired Fitness Function for Robotic Grasping
This paper describes the innovative use of genetic programming (GP) to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a Ò...
J. Jaime Fernandez, Ian D. Walker
IJON
2006
127views more  IJON 2006»
13 years 7 months ago
Evolved neural networks based on cellular automata for sensory-motor controller
Constructing the controller of a mobile robot has several issues to be addressed: how to automate behavior generation procedure, how to insert available domain knowledge effective...
Kyung-Joong Kim, Sung-Bae Cho
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 27 days ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
AAAI
2004
13 years 8 months ago
Adding Time and Intervals to Procedural and Hierarchical Control Specifications
In this paper we introduce the language Golog+HTNT I for specifying control using procedural and HTN-based constructs together with deadlines and time restrictions. Our language s...
Tran Cao Son, Chitta Baral, Le-Chi Tuan
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
14 years 1 months ago
Learning to Select State Machines using Expert Advice on an Autonomous Robot
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
Brenna Argall, Brett Browning, Manuela M. Veloso