Lucas Botoni de Souza
Papers
8
Total Citations
280
H-Index
6
About
Lucas Botoni de Souza is a Brazilian robotics researcher whose work sits at the intersection of autonomous systems, swarm intelligence, and computational intelligence. Affiliated with the Universidade Tecnológica Federal do Paraná (UTFPR), he has made significant contributions to multi-robot systems, fuzzy cognitive mapping, and robotic manipulator control. His most influential work explores how groups of autonomous robots can intelligently navigate semi-unknown and unknown environments. His 2019 paper introducing Fuzzy Cognitive Map (FCM) controllers for swarm-inspired multi-robot foraging tasks has garnered 90 citations, while a follow-up study combining Dynamic FCMs with Ant Colony Optimization for disaster rescue scenarios has accumulated 76 citations — underscoring the real-world urgency motivating his research. Together, these works establish him as a leading voice in intelligent multi-robot exploration. Souza has also made notable contributions to robotic manipulator control, comparing genetic algorithms and artificial neural networks for solving inverse kinematics problems, with his 2021 analysis earning 46 citations. Beyond research, he demonstrates a commitment to robotics education, exploring digital game-based learning tools to make autonomous systems concepts more accessible to undergraduate students. Across his body of work, Souza consistently bridges theoretical rigor with practical, life-saving applications.
Research Focus
Key Achievements
Top Papers
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- 4Group of Robots Inspired by Swarm Robotics Exploring Unknown Environments33 citations · 2018
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- 6Evaluation of mobile autonomous robot in trajectory optimization7 citations · 2023
- 7Digital game-based learning in a robotics course4 citations · 2020
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