Luis Riazuelo — accepted AI-conference papers

2025

Hey Robot! Personalizing Robot Navigation Through Model Predictive Control with a Large Language Model

Diego Martinez-Baselga, Oscar de Groot, Luzia Knödler, Javier Alonso-Mora, Luis Riazuelo, Luis Montano

ICRA 2025

Robot navigation methods allow mobile robots to operate in applications such as warehouses or hospitals. While the environment in which the robot operates imposes requirements on its navigation behavior, most existing methods do not allow the end-user to configure the robot's behavior and priorities

Cited by 3 Source ↗Scholar ↗

2023

Improving robot navigation in crowded environments using intrinsic rewards

Diego Martinez-Baselga, Luis Riazuelo, Luis Montano

ICRA 2023poster

Autonomous navigation in crowded environments is an open problem with many applications, essential for the coexistence of robots and humans in the smart cities of the future. In recent years, deep reinforcement learning approaches have proven to outperform model-based algorithms. Nevertheless, even…

Cited by 20 Source ↗code ↗Scholar ↗

2020

3D-MiniNet: Learning a 2D Representation From Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

Iñigo Alonso, Luis Riazuelo, Luis Montesano, Ana C. Murillo

RA-L 2020

LIDAR semantic segmentation is an essential task that provides 3D semantic information about the environment to robots. Fast and efficient semantic segmentation methods are needed to match the strong computational and temporal restrictions of many real-world robotic applications. This work presents

Cited by 162 Source ↗code ↗Scholar ↗

2019

Enhancing V-SLAM Keyframe Selection with an Efficient ConvNet for Semantic Analysis

Iñigo Alonso, Luis Riazuelo, Ana C. Murillo

ICRA 2019poster

Selecting relevant visual information from a video is a challenging task on its own and even more in robotics, due to strong computational restrictions. This work proposes a novel keyframe selection strategy based on image quality and semantic information, which boosts strategies currently used in V…

Cited by 19 Source ↗Scholar ↗