Dr Rodrigo Chacon Quesada
Dr Rodrigo Chacón Quesada works in our Laboratory as Research Associate in Trustworthy Human-Robot Interaction since July 2022. He received his PhD degree from Imperial College London in June 2022. His thesis topic was "Affordance Inference and Visualisation for Assistive Robotics". His studies were funded by the University of Costa Rica and the Ministry of Science Technology and Telecommunications, Costa Rica.
Rodrigo received his M.Sc. and B.Sc. First Class Honours degrees in Electrical Engineering, with an emphasis in digital systems and communications systems respectively, from the University of Costa Rica, and developed his M.Sc. thesis project at the Pattern Recognition and Intelligent Systems Laboratory (PRIS-Lab). His background is on digital systems, image and video processing, electronics and telecommunications.
His current research interests involve Augmented Reality User Interfaces, Assistive Robotics, Affordance perception, and Human-Robot Interaction.
→ Chacón Quesada, R and Y. Demiris, Proactive Robot Assistance: Affordance-Aware Augmented Reality User Interfaces, in IEEE Robotics & Automation Magazine, vol. 29, no. 1, pp. 22-34, March 2022, doi: 10.1109/MRA.2021.3136789.
→ Chacón Quesada, Rodrigo and Demiris, Yiannis, Design and Evaluation of an Augmented Reality Head-Mounted Display User Interface for Controlling Legged Manipulators. In 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023, in press.
→ Chacón Quesada, Rodrigo and Demiris, Yiannis, Holo-SpoK: Affordance-Aware Augmented Reality Control of Legged Manipulators. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, pp. 856-862, doi: 10.1109/IROS47612.2022.9981989.
→ Chacón Quesada, Rodrigo and Demiris, Yiannis, Augmented Reality User Interfaces for Heterogeneous Multirobot Control. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 11439-11444, doi: 10.1109/IROS45743.2020.9341422.
→ Chacón Quesada, Rodrigo and Demiris, Yiannis, Augmented Reality Controlled Smart Wheelchair Using Dynamic Signifiers for Affordance Representation. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, pp. 4812-4818, doi: 10.1109/IROS40897.2019.8968290.
Refereed Workshop Papers
→ Chacón Quesada, R and Demiris Y, Augmented reality control of smart wheelchair using eye-gaze–enabled selection of affordances. IROS 2018 Workshop on Robots for Assisted Living.