7 citations · 12 across the 5 of their papers we have counts for
5 papers
Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities
Miguel Á. González-Santamarta, Francisco J. Rodríguez-Lera, David Sobrín-Hidalgo +2
Large Language Models (LLMs) have experienced great advancements in the last year resulting in an increase of these models in several fields to face natural language tasks. The int…
Generating Explanations for Autonomous Robots: a Systematic Review
David Sobrín-Hidalgo, Ángel Manuel Guerrero-Higueras, Vicente Matellán-Olivera
Building trust between humans and robots has long interested the robotics community. Various studies have aimed to clarify the factors that influence the development of user trust.…
Enhancing Robot Explanation Capabilities through Vision-Language Models: a Preliminary Study by Interpreting Visual Inputs for Improved Human-Robot Interaction
David Sobrín-Hidalgo, Miguel Ángel González-Santamarta, Ángel Manuel Guerrero-Higueras +2
This paper presents an improved system based on our prior work, designed to create explanations for autonomous robot actions during Human-Robot Interaction (HRI). Previously, we de…
ROXIE: Defining a Robotic eXplanation and Interpretability Engine
Francisco J. Rodríguez-Lera, Miguel A. González-Santamarta, Alejandro González-Cantón +3
In an era where autonomous robots increasingly inhabit public spaces, the imperative for transparency and interpretability in their decision-making processes becomes paramount. Thi…
Explaining Autonomy: Enhancing Human-Robot Interaction through Explanation Generation with Large Language Models
David Sobrín-Hidalgo, Miguel A. González-Santamarta, Ángel M. Guerrero-Higueras +2
This paper introduces a system designed to generate explanations for the actions performed by an autonomous robot in Human-Robot Interaction (HRI). Explainability in robotics, enca…