411 REFERENCE · Wikibooks
Robotics/Papers
Reference material by Wikibooks contributors. This retains its source identity and is not 411 news reporting.
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