Francisco J. Rodríguez — accepted AI-conference papers

2023

Portable Multi-Hypothesis Monte Carlo Localization for Mobile Robots

Alberto García, Francisco Martín, José Miguel Guerrero, Francisco J. Rodríguez, Vicente Matellán

ICRA 2023poster

Self-localization is a fundamental capability that mobile robot navigation systems integrate to move from one point to another using a map. Thus, any enhancement in localization accuracy is crucial to perform delicate dexterity tasks. This paper describes a new localization algorithm that maintains…

Cited by 8 Source ↗Scholar ↗

2021

PlanSys2: A Planning System Framework for ROS2

Francisco Martín, Jonatan Ginés Clavero, Vicente Matellán, Francisco J. Rodríguez

IROS 2021poster

Autonomous robots need to plan the tasks they carry out to fulfill their missions. The missions’ increasing complexity does not let human designers anticipate all the possible situations, so traditional control systems based on state machines are not enough. This paper contains a description of the…

Cited by 50 Source ↗Scholar ↗