Dieisson Martinelli
Universidade do Estado de Santa Catarina, Universidade Tecnológica Federal do Paraná
Papers
6
Total Citations
32
H-Index
4
About
Dieisson Martinelli is a robotics researcher whose work sits at the intersection of human-robot interaction, teleoperation, and mobile robotics. His research has made notable contributions to intuitive control interfaces, particularly leveraging deep learning for gesture and motion recognition to enable more natural and accessible ways for humans to command robotic systems. His 2019 paper on gesture-based robot control using RGB cameras and deep learning garnered 9 citations, while his follow-up work on IoT-enabled human-robot interfaces further established his expertise in bridging communication technologies with intelligent recognition systems. Martinelli has also advanced multi-robot teleoperation through the AutoNav system, addressing the complex challenge of intuitive control in hazardous environments. Beyond human-machine interaction, his research explores autonomous navigation, with work on fuzzy logic approaches for obstacle avoidance in dynamic environments using LiDAR sensors. A recurring theme throughout his portfolio is accessibility and education — he has developed low-cost robotic platforms designed to democratize advanced robotics learning in academic settings. With over 30 cumulative citations across his body of work, Martinelli's research reflects a consistent commitment to making robotics both smarter and more approachable for operators and students alike.
Research Focus
Key Achievements
Top Papers
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- 6Low-Cost Robot Construction Focused on Educational Environments1 citations · 2024