On Strengthening the Glass Ceiling of Training for Robotics Competitions: Methods, Issues, and Directions

  • Igor Matias de Lima Dantas UFRN
  • Marcus Vinícius Lima de Freitas UFRN
  • Larissa Soares de Souza UFRN
  • Karina M. S. Alves Prefeitura Municipal de Natal
  • Maria Da Guia Torres Da Silva UFRN
  • Luiz M. G. Goncalves UFRN https://orcid.org/0000-0002-7735-5630

Abstract


This study presents case studies of workshops de-signed to train teams for participation in robotics competitions, specifically the Brazilian Robotics Olympiad (OBR) and the First Lego League (FLL). The methodologies implemented are detailed, including team selection processes, the introduction of programming tools like Scratch, and the use of simulated competitions. The findings highlight the importance of rigorous planning and the involvement of experienced mentors, which significantly improved students' technical skills, teamwork, and problem-solving abilities. Additionally, key challenges such as resource limitations and motivational factors that impact the effectiveness of educational robotics initiatives are identified. Directions that can motivate the holding of these competitions in schools are pointed out, provided they are combined with methods and techniques that have a strong theoretical basis in educational practice, aiming at the formation of the student as a social being.
Keywords: Training, Conferences, Glass, Reflection, Planning, Teamwork, Problem-solving, Mentoring, Robots, Programming profession, Educational Robotics, Robotics Competitions, Training Robotic Teams, OBR, FLL
Published
2024-11-13
DANTAS, Igor Matias de Lima; FREITAS, Marcus Vinícius Lima de; SOUZA, Larissa Soares de; ALVES, Karina M. S.; SILVA, Maria Da Guia Torres Da; GONCALVES, Luiz M. G.. On Strengthening the Glass Ceiling of Training for Robotics Competitions: Methods, Issues, and Directions. In: BRAZILIAN SYMPOSIUM ON ROBOTICS AND LATIN AMERICAN ROBOTICS SYMPOSIUM (SBR/LARS), 16. , 2024, Goiânia/GO. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 1-6.