Doctoral Thesis
Title: Evolving Multiple Robot Coordination Strategies Using Genetic Algorithms
Is XCS Suitable For Problems with Temporal Rewards?
Kai Tang and Ray Jarvis,
In International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA2005),
2005, Vienna, Austria.
From Supervised Ranking to Evolving Behaviours of A Robotic Team,
Kai Tang and Ray Jarvis,
In The Genetic and Evolutionary Computation Conference (GECCO2005), 2005, Washington, D.C., U.S.A.
Multiple Robot Path Planning Strategies for Bush Fire Fighting,
Ray Jarvis and Kai Tang,
In The Australasian Conference on Robotics and Automation (ACRA2005), 2005, Sydney, Australia.
A Fast Algorithm to Plan a Collision-Free Path in Cluttered 2D Environments,
Kai Tang and Ray Jarvis,
In IEEE Conference on Robotics, Automation and Mechatronics (RAM2004), 2004, Singapore.
An Evolutionary Computing Approach to Generating Useful and
Robust Robot Team Behaviours,
Kai Tang and Ray Jarvis,
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2004), 2004, Sendai, Japan.
Production Rules as Chromosomes of GA for Robotic Swarm Applications,
Kai Tang and Ray Jarvis,
In The Australasian Conference on Robotics and Automation (ACRA2003), 2003, Brisbane, Australia.
Application of Genetic Algorithm to Robotic Swarm Simulation,
Kai Tang and Ray Jarvis,
In Congress on Evolutionary Computation (CEC2003), 2003, Canberra, Australia.
Collision-Free Path Finding Amongst Polygonal Obstactles Using
Efficient Free Space Triangulation,
Kai Tang and Ray Jarvis,
In Second International Conference on Automation, Robotics and Computer Vision (ICARCV92), 1992, Singapore.
Range From Focus - The Direct Method Revisited,
Kai Tang and Ray Jarvis,
In Australian Pattern Recognition Society Conference - Digital Image Computing (DICTA91), 1991, Melbourne, Australia.