Papers
19
Total Citations
294
H-Index
10
About
Thadeu Brito is a robotics and automation researcher whose work sits at the intersection of intelligent systems, collaborative robotics, and Industry 4.0 applications. Based at the Polytechnic Institute of Bragança (IPB), his research spans mobile robotics, machine learning-driven quality control, path planning, and human-robot collaboration, making significant contributions to both industrial and educational contexts. His most influential work, "A Machine Learning Approach for Collaborative Robot Smart Manufacturing Inspection for Quality Control Systems" (2020), has garnered over 100 citations and demonstrates how collaborative robots can automate zero-defect manufacturing — a cornerstone challenge of modern smart factories. Beyond industry, Brito has advanced collision avoidance systems, comparing path-planning algorithms such as A* and RRT* for dynamic environments, and developed a bioinspired topological mapping system for search-and-rescue UAVs. Notably, Brito bridges cutting-edge research with education, designing robotics summer camps and competition frameworks like Robot@Factory Lite to inspire the next generation of engineers. His work in upper limb rehabilitation robotics further highlights his commitment to socially impactful applications. With over 230 cumulative citations, Brito represents a versatile and socially engaged voice in contemporary robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Educational Robotics Summer Camp at IPB23 citations · 2019
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- 5Dynamic Collision Avoidance System for a Manipulator Based on RGB-D Data17 citations · 2017
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- 9A Real Framework to Apply Collaborative Robots in Upper Limb Rehabilitation11 citations · 2020
- 10Indoor Environment Monitoring in Search of Gas Leakage by Mobile Robot10 citations · 2019