Implementing a teleo-reactive programming system

Acknowledgements I would like to express my gratitude to Dr Anthony Field for his support and guidance throughout my project. I would also like to thank Dr Keith Clark and Dr Peter Robinson for their support with the Qulog software and discussion in person and via email. Finally, I thank my family, my friends and all my professors at Imperial College. 2 This thesis explores the teleo-reactive programming paradigm for controlling autonomous agents, such as robots. Teleo-reactive programming provides a robust, opportunistic method for goal-directed programming that continuously reacts to the sensed environment. In particular, the TR and TR systems are investigated. They inuence the design of a teleo-reactive system programming in Python, for controlling autonomous agents via the Pedro communications architecture. To demonstrate the system, it is used as a controller in a simple game.