Gabriel Amaral Dorneles
Papers
2
Total Citations
4
H-Index
2
About
Gabriel Amaral Dorneles is a robotics researcher whose work focuses on autonomous navigation, path planning, and accessible robotic platforms. His key contributions lie in developing techniques for mobile robots to learn and repeat complex trajectories with precision. In his 2024 paper "Teach and Repeat for Path Planning Using Bézier Curves," Dorneles introduced a novel approach that enables differential-drive robots to replicate taught paths using smooth, mathematically defined curves—a critical capability for service robots operating in dynamic environments. This work, already garnering 2 citations, demonstrates his ability to bridge theoretical path planning with practical implementation. Dorneles also contributed to "SHARK: Stable Hoverboard-driven Autonomous Robot Kit" (2024, 2 citations), an open-source platform that repurposes hoverboard technology for affordable, stable robotics research. This project exemplifies his commitment to democratizing access to advanced robotics hardware. Through these contributions, Dorneles is advancing the reliability and accessibility of autonomous navigation systems, making his research particularly valuable for students and engineers developing real-world mobile robot applications.
Research Focus
Key Achievements
Top Papers
- 1Teach and Repeat for Path Planning Using Bézier Curves2 citations · 2024
- 2SHARK: Stable Hoverboard-driven Autonomous Robot Kit2 citations · 2024