José David Lopes is a Research Fellow at Heriot Watt University in Edinburgh, Scotland. His research focus on conversational systems for human-robot interaction. He’s part of the Interaction Lab and the INCRA Lab. He is currently involved in The RobotCafé for the National Robotarium and the UKRI TAS Trust Node.
Download my resumé.
PhD in Electrical and Computer Engineering, 2013
Instituto Superior Técnico
MEng in Electrical and Computer Engineering, 2008
Universidade de Coimbra
BEng in Electrical and Computer Engineering, 2007
Universidade de Coimbra
Using a robot-head gaze to balance the a game interaction between a native and a non-native speaker.
Explaining remote robots behaviour learned from demonstration with natural language.
A study on how robot-errors affect trust in the scenario of a COVID-19 triage.
This article proposes meta-learning to perform domain adaptation in dialogue systems.
We compared the performance of neural models when trained using crowd-sourced and lab collected data. For our particular domain lab data lead to better performance.
Analysing a developing uncertainty detectors for Robot-Aided Language Learning (RALL).
This article analyses how robot–learner interaction in robot assisted language learning (RALL) is influenced by the interaction behaviour of the robot. Adaptation is needed to user preference and needs.
A framework to collect dialogues through crowd-sourcing using a Wizard-of-Oz setup..
A position paper on mental models for HRI.
Description of our social robot demo for the oil and gas industry.