6 documents found, page 1 of 1
Multi-neural network localisation system with regression and classification on ...
Lopes, Carolina Coelho; Ribeiro, António Fernando Alcântara; Ribeiro, Tiago Alcântara; Lopes, Gil; Ribeiro, A. FernandoIn environments like the RoboCup Middle Size League (MSL), precise and rapid localisation of robots is crucial for effective autonomous interaction. This study addresses the limitations of conventional localisation approaches—often based on single-camera systems or sensors such as LiDAR (Light Detection and Ranging) and infrared—by developing a robust Artificial Intelligence (AI)-based multi-camera system solut...
LAR@MSL Team description paper 2025
Ribeiro, António Fernando Alcântara; Lopes, Carolina; Ribeiro, Cláudio; Martins, Rui; Oliveira, TIago; Borges, Daniel; Araújo, Jorge; Silva, JoséThe LAR@MSL team has participated in MSL for years, from 1999-2007, 2011, 2016, and again in 2023 and 2024. This Team Description Paper aims to briefly explain the robots’ structure, hardware, and software and highlight the most significant changes introduced this year. It is important to note that new students have joined the team and are adapting to the league. This year’s updates include implementing a new M...
Probability-based strategy for football cooperative multi-agent autonomous robots
Ribeiro, António Fernando AlcântaraRoboCup is the Robotics World Championship and is one of the reasons for the constant growth, research and development in robotics. One of its leagues is the Middle Size League (MSL), which is a scientific football challenge with teams of five robots. The strategy of a multi-autonomous cooperative robotic system in a football game can be solved in multiple ways, commonly based on the Skills, Tactics and Plays (...
LAR@MSL Team description paper 2024
Ribeiro, António Fernando Alcântara; Lopes, Carolina; Ribeiro, Cláudio; Costa, Joel; Martins, José; Oliveira, Paulo; Silva, Rúben; Lima, RuiThe LAR@MSL team has been participating in MSL for many years, from 1999-2007, 2011, 2016 and again in 2023. This Team Description Paper intends to briefly explain the robot’s structure, hardware and software and some of the most important changes implemented by this new team. It is important to point out that new students joined the team and are new to the league. Most of the changes, so far, have been regardi...
LAR@MSL Description Paper 2023
Ribeiro, António Fernando Alcântara; Costa, Joel; Martins, José; Silva, Rúben; Lima, Rui; Lopes, Carolina; Lopes, Gil; Ribeiro, A. FernandoThe LAR@MSL team has been participating on MSL for many years, from 1999-2007, 2011, and 2016. After a few years of stoppage for RoboCup nonrelated reasons, the research team is back to the MSL with a new generation of students. The 2016 robot platforms are being used with some hardware/software changes as the robots were very obsolete and the changes were needed to keep up with the league evolution. This Team ...
Probability-based strategy for a football multi-agent autonomous robot system
Ribeiro, António Fernando Alcântara; Lopes, Ana Carolina Coelho; Ribeiro, Tiago Alcântara; Pereira, Nino Sancho Sampaio Martins; Lopes, Gil TeixeiraThe strategies of multi-autonomous cooperative robots in a football game can be solved in multiple ways. Still, the most common is the “Skills, Tactics and Plays (STP)” architecture, developed so that robots could easily cooperate based on a group of predefined plays, called the playbook. The development of the new strategy algorithm presented in this paper, used by the RoboCup Middle Size League LAR@MSL team, ...