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Adaptive Behaviour in Evolving Robots
(University of Plymouth, 2017)
In this thesis, the evolution of adaptive behaviour in artificial agents is studied. More specifically, two types of adaptive behaviours are studied: articulated and cognitive ones. Chapter 1 presents a general introduction ...
Action Learning Experiments Using Spiking Neural Networks and Humanoid Robots
(University of Plymouth, 2018)
The way our brain works is still an open question, but one thing seems to be clear: biological neural systems are computationally powerful, robust and noisy. Natural nervous system are able to control limbs in different ...
Autonomous Drone Landings on an Unmanned Marine Vehicle using Deep Reinforcement Learning
(University of Plymouth, 2019)
This thesis describes with the integration of an Unmanned Surface Vehicle (USV) and an Unmanned Aerial Vehicle (UAV, also commonly known as drone) in a single Multi-Agent System (MAS). In marine robotics, the advantage ...