Josemar Rodrigues de Souza
Universidade do Estado da Bahia, Serviço Nacional de Aprendizagem Industrial
Papers
6
Total Citations
21
H-Index
3
About
Josemar Rodrigues de Souza is a robotics researcher whose work centers on multi-robot coordination, strategic planning, and human-robot interaction. His primary contributions lie in developing tools and frameworks that enable robots—particularly in soccer—to learn and execute coordinated setplays from demonstration. Souza co-created the Strategy Planner (SPlanner) and the FCPortugal Setplays Framework (FSF), which allow robotics specialists to design sophisticated defensive and passing strategies without hand-coding. His 2021 paper on generating datasets for learning setplays from demonstration, along with its companion work on SPlanner enhancements, each garnered 5 citations, highlighting their utility in the multi-agent systems community. Souza has also explored speech recognition for robotics, comparing Pocketsphinx and Vosk decoders in a 2021 study, and developed the MR-Simulator for RoboCup’s Mixed Reality competition (2011). Additionally, his 2018 framework for modeling autonomous multi-robot systems using Petri Nets and multi-agent techniques addresses synchronization and cooperation challenges. Most recently, his 2024 work on automatic code generation for robotic soccer behavior simulation points toward streamlining the translation of strategic plans into executable code. Souza’s research bridges simulation and real-world deployment, advancing the state of the art in robotic teamwork.
Research Focus
Key Achievements
Top Papers
- 1Generating a dataset for learning setplays from demonstration5 citations · 2021
- 2
- 3Comparing Pocketsphinx and Vosk Recognition in human speech decoding3 citations · 2021
- 4MR-Simulator: A Simulator for the Mixed Reality Competition of RoboCup3 citations · 2011
- 5Framework for Modeling Autonomous Multi-robots Systems3 citations · 2018
- 6Towards Automatic Code Generation for Robotic Soccer Behavior Simulation2 citations · 2024