Mariela De Lucas
Mariela is a Robocademy ITN Early Stage Researcher at Heriot Watt University, Edinburgh. Her main area of research are computational methods than can extend the autonomous capabilities of single vehicles and small fleets of vehicles to symbolically describe the relationships between features and objects to be used by plan adaption mechanisms. She obtained a master degree in Computer Vision and Robotics from the Erasmus Mundus joint programme between Heriot Watt University, University of Girona and University of Burgundy, with a master thesis on Dynamic Balancing on humanoid robots. She developed her thesis at the Institute of Perception, Action and Behaviour in the University of Edinburgh and collaborated with their RoboCup team Edinferno. In the spare time, she enjoys the cinema, reading, and listening to music.
Project Description: Her objective and task is to develop methods to enable the underwater robot to recover from failures in task execution caused by uncertainties and disturbance, thereby reducing its need to revert to the operator for help and to investigate the conversion of geometric information to symbolic representation of relations. The use of ontologies will be considered to represent both the state of the world, and of the robots capabilities and of task execution, in the context of a service oriented architecture for implementation.
Supervisor: Prof. David Lane