activity
20202026
most citedYASMIN: Yet Another State MachINe library for ROS 2

15 citations · 55 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Kairos: Semantics-Aware Orchestration of Planning Engines across Classical, Numeric, Temporal and Hybrid PDDL

Francisco Martín Rico, Esther Aguado González, Francisco Miguel Moreno Olivo +3

Planning at run time, as in robots that re-plan while they act, needs a planner that reads the PDDL its users write (durative actions, numeric resources, time windows, continuous c…

cs.RO2026

AXON: A ROS 2 RMW with Shared-Memory/QUIC Transport and QKD/ML-KEM Key Establishment

Sergio Sánchez de la Fuente, Miguel Ángel González-Santamarta, Francisco Javier Rodríguez-Lera +2

Robot Operating System 2 (ROS 2) standardizes application code against a middleware interface (RMW) whose reference implementations are built on the Data Distribution Service (DDS)…

cs.RO2025★ 1 cited

Accessible and Pedagogically-Grounded Explainability for Human-Robot Interaction: A Framework Based on UDL and Symbolic Interfaces

Francisco J. Rodríguez Lera, Raquel Fernández Hernández, Sonia Lopez González +3

This paper presents a novel framework for accessible and pedagogically-grounded robot explainability, designed to support human-robot interaction (HRI) with users who have diverse…

cs.RO2024

Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models

Laura Fernández-Becerra, Miguel Ángel González-Santamarta, Ángel Manuel Guerrero-Higueras +2

The deployment of autonomous agents in environments involving human interaction has increasingly raised security concerns. Consequently, understanding the circumstances behind an e…

cs.RO2023★ 9 cited

Using Large Language Models for Interpreting Autonomous Robots Behaviors

Miguel A. González-Santamarta, Laura Fernández-Becerra, David Sobrín-Hidalgo +3

The deployment of autonomous robots in various domains has raised significant concerns about their trustworthiness and accountability. This study explores the potential of Large La…

cs.RO2023★ 1 cited

SAILOR: Perceptual Anchoring For Robotic Cognitive Architectures

Miguel Á. González-Santamarta, Francisco J. Rodríguez-Lera, Vicente Matellán Olivera +2

Symbolic anchoring is a crucial problem in the field of robotics, as it enables robots to obtain symbolic knowledge from the perceptual information acquired through their sensors.…

cs.RO2022★ 15 cited

YASMIN: Yet Another State MachINe library for ROS 2

Miguel Ángel González-Santamarta, Francisco Javier Rodríguez-Lera, Camino Fernández Llamas +2

State machines are a common mechanism for defining behaviors in robots, defining them based on identifiable stages. There are several libraries available for easing the implementat…

cs.RO2022★ 4 cited

KANT: A tool for Grounding and Knowledge Management

Miguel Á. González-Santamarta, Francisco J. Rodríguez-Lera, Francisco Martín +2

The intelligent robotics community usually organizes knowledge into symbolic and sub-symbolic levels. These two levels establish the set of symbols and rules for manipulating knowl…

cs.LG2021★ 7 cited

rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks

Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera +1

Training reinforcement learning agents at solving a given task is highly dependent on identifying optimal sets of hyperparameters and selecting suitable environment input / output…

cs.RO2021★ 7 cited

Optimized Execution of PDDL Plans using Behavior Trees

Francisco Martín, Matteo Morelli, Huascar Espinoza +2

Robots need task planning to sequence and execute actions toward achieving their goals. On the other hand, Behavior Trees provide a mathematical model for specifying plan execution…

cs.RO2020★ 8 cited

Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks

Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera +1

Reinforcement learning has shown great promise in robotics thanks to its ability to develop efficient robotic control procedures through self-training. In particular, reinforcement…

cs.RO2020★ 3 cited

Defining Adaptive Proxemic Zones for Activity-aware Navigation

Jonatan Gines Clavero, Francisco Martin Rico, Francisco J. Rodriguez-Lera +2

Many of the tasks that a service robot can perform at home involve navigation skills. In a real world scenario, the navigation system should consider individuals beyond just object…