Gaspar Isaac Melsión

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 10

Top Topics

Object Description

Human Robot Interaction

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Alessio Galatolo, Gaspar Isaac Melsión, Iolanda Leite, Katie Winkle
The Right (Wo)Man for the Job? Exploring the Role of Gender when Challenging Gender Stereotypes with a Social Robot. Int. J. Soc. Robotics 15 (11) (2023)
Gaspar Isaac Melsión, Rebecca Stower, Katie Winkle, Iolanda Leite
What's at Stake? Robot explanations matter for high but not low-stake scenarios. RO-MAN (2023)
Daniel Marta, Christian Pek, Gaspar Isaac Melsión, Jana Tumova, Iolanda Leite
Human-Feedback Shield Synthesis for Perceived Safety in Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 7 (1) (2022)
Katie Winkle, Ryan Blake Jackson, Gaspar Isaac Melsión, Drazen Brscic, Iolanda Leite, Tom Williams
Norm-Breaking Responses to Sexist Abuse: A Cross-Cultural Human Robot Interaction Study. HRI (2022)
Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Y. Ban, Hamidreza Eivazi, H. Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, K. Smith, F. Fuso Nerini, Ricardo Vinuesa
The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR (2022)
Fethiye Irmak Dogan, Gaspar Isaac Melsión, Iolanda Leite
Leveraging explainability for understanding object descriptions in ambiguous 3D environments. Future Internet 9 (2022)
Fethiye Irmak Dogan, Gaspar Isaac Melsión, Iolanda Leite
Leveraging explainability for understanding object descriptions in ambiguous 3D environments. Frontiers Robotics AI 9 (2022)
Fethiye Irmak Dogan, Gaspar Isaac Melsión, Iolanda Leite
Leveraging Explainability for Comprehending Referring Expressions in the Real World. CoRR (2021)
Katie Winkle, Gaspar Isaac Melsión, Donald McMillan, Iolanda Leite
Boosting Robot Credibility and Challenging Gender Norms in Responding to Abusive Behaviour: A Case for Feminist Robots. HRI (Companion) (2021)
Gaspar Isaac Melsión, Ilaria Torre, Eva Vidal, Iolanda Leite
Using Explainability to Help Children UnderstandGender Bias in AI. IDC (2021)