Currently, I am a Ph.D student at the Edinburgh Centre for Robotics (ECR) member of the Robust Autonomy and Decisions (Rad) at University of Edinburgh and Social robotics group at Heriot-Watt University. For my research project I'm interested in including the affordances in a robust autonomous framework for assistive robots. One of the most needed tasks for robots assisting in indoor environments is manipulation. In order to achieve a robust grasp application autonomy in humanoid robots is essential. Hence the need to improve grasp affordances, specially in dynamic environments. My previous education includes a master degree on Computer Vision and Robotics, a bachelor's degree on Electrical and Computer Engineering as well as a minor in Business Administration. I have acknowledge on image segmentation, visual servoing, machine learning techniques, optimization, localization and path planning. In industry I worked as a VAP O&M Engineer on monitoring and maintenance of value added platforms (software and hardware).
Edinburgh Centre for Robotics, CDT. Expected Graduation - November 2021
Edinburgh Centre for Robotics, CDT. Graduated with Distinction
VIBOT Erasmus Program. Graduated with Distinction
FRANCE, SPAIN, UK
John Brown University. Graduated cum laude
Ardón, P.; Pairet; È., Petrick, R., Ramamoorthy, S.; and Lohan, K. S. "Learning Grasp Affordance Reasoning through Semantic Relations". IEEE Robotics and Automation Letters (RA-L). To be presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). November 2019.
Pairet, È.; Ardón, P.; Mistry, M.; and Petillot, Y. "Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors". IEEE Robotics and Automation Letters (RA-L). To be presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). November 2019.
Ardón, P.; Pairet, È.; Petrick, R.; Ramamoorthy, S.; and Lohan, K. S. "Reasoning on Grasp-Action Affordances", in Conf. Towards Autonomous Robotic Systems. July 2019. Best Paper Award finalist.
Pairet, È.; Ardón, P.; Mistry, M,; and Petillot, Y. "Learning and Composing Primitive Skills for Dual-arm Manipulation", in Conf. Towards Autonomous Robotic Systems. July 2019. Advanced Robotics at Queen Mary (ARQ) best paper award.
Pairet, È.; Ardón, P.; Liu, X.; Lopes,J.; Hastie, H.; and Lohan, K. S. "A Digital Twin for Human-Robot Interaction", in ACM/IEEE Intl. Conf. on Human-Robot Interaction. March 2019.
Ardón, P.; Pairet, È.; Ramamoorthy, S.; and Lohan, K. S. Towards robust grasps: Using the environment semantics for robotic object affordances. 2018. In AAAI Fall Symposium. Reasoning and Learning in Real-World Systems for Long-Term Autonomy. AAAI Press.
Pairet, È.; Ardón, P.; Brox, F.; Mistry, M.; and Petillot, Y. 2018a. Learning and generalisation of primitives skills towards robust dual-arm manipulation. In AAAI Fall Symposium. Artificial Intelligence for Reasoning and Learning in Real-World Systems for Long-Term Autonomy. AAAI Press.
Ardón P.; Ramamoorthy, S.; Lohan, K.S.. Object affordances by inferring on the surroundings, In Proc. IEEE Workshop on Advance Robotics and its Social Impact, 2018. In press.
Ardón P.; Dragone, M. and Erden, M. S.Reaching and Grasping of Objects by Humanoid Robots through Visual Servoing. 6 Jun 2018 Haptics: Science, Technology, and Applications. Springer, p. 353-365 13 p. (Lecture Notes in Computer Science; vol. 10894).