Robotics/Papers

This section list sites that carry papers on various subjects relevant to robotics.

cs.conncoll.edu/Parker/_papers.html
 * Co-Evolving Team Capture Strategies for Dissimilar Robots
 * Fitness Biasing to Produce Adaptive Gaits for Hexapod Robots
 * Competing Sample Sizes for the Co-Evolution of Heterogeneous Agents
 * Partial Recombination for the Co-Evolution of Model Parameters
 * Varying Sample Sizes for the Co-Evolution of Heterogeneous Agents
 * Punctuated Anytime Learning for Evolving Multi-Agent Capture Strategies
 * Cyclic Genetic Algorithms for Evolving Multi-Loop Control Programs
 * Continuous Power Supply for a Robot Colony
 * Comparison of Sampling Sizes for the Co-Evolution of Cooperative Agents
 * Evolving Towers in a 3-Dimensional Simulated Environment
 * Evolving Neural Networks for Hexapod Leg Controllers
 * Learning Adaptive Leg Cycles Using Fitness Biasing
 * Cyclic Genetic Algorithms for Stiquito Locomotion
 * Evolving Gaits for the Lynxmotion Hexapod II Robot
 * Sampling the Nature of a Population: Punctuated Anytime Learning for Co-Evolving a Team
 * Punctuated Anytime Learning for Hexapod Gait Generation
 * Learning Area Coverage Using the Co-Evolution of Model Parameters
 * Evolving Neural Network Controllers to Produce Leg Cycles for Gait Generation
 * Punctuated Anytime Learning for Evolving a Team
 * Evolving Cyclic Control for a Hexapod Robot Performing Area Coverage
 * The Incremental Evolution of Gaits for Hexapod Robots
 * Gait Evolution for a Hexapod Robot
 * Learning Control Cycles for Area Coverage with Cyclic Genetic Algorithms
 * Co-Evolving Model Parameters for Anytime Learning in Evolutionary Robotics
 * Evolving Leg Cycles to Produce Hexapod Gaits
 * Punctuated Anytime Learning for Evolutionary Robotics
 * The Co-Evolution of Model Parameters and Control Programs in Evolutionary Robotics
 * Adaptive Hexapod Gait Control Using Anytime Learning with Fitness Biasing
 * Generating Arachnid Robot Gaits with Cyclic Genetic Algorithms
 * Locomotion Control Cycles Adapted for Disabilities in Hexapod Robots
 * Metachronal Wave Gait Generation for Hexapod Robots
 * Evolving Hexapod Gaits Using a Cyclic Genetic Algorithm
 * Learning Gaits for the Stiquito
 * Using Cyclic Genetic Algorithms to Reconfigure Hardware Controllers for Robots
 * Cyclic Genetic Algorithms for the Locomotion of Hexapod Robots
 * Genetic Algorithms for the Development of Real-Time Multi-Heuristic Search Strategies