Renan Sanches Geronel
Universidade de São Paulo, Universidade Federal de São Carlos
Papers
3
Total Citations
24
H-Index
2
About
Renan Sanches Geronel is a rising researcher at the forefront of autonomous systems and intelligent robotics, with a focus on multi-agent coordination and bio-inspired design. His work bridges critical gaps in intelligent transportation systems (ITS) and advanced robotic manipulation. Geronel’s most impactful contribution is his comprehensive review of task allocation algorithms for multi-UAV systems in ITS, which has already garnered 18 citations since its 2024 publication. This work is pivotal for enabling swarms of drones to collaborate efficiently in real-world traffic monitoring and logistics. He has also advanced the field of flexible robotics through his dual-loop control strategies for vibration attenuation in parallel manipulators, a key challenge for precision industrial applications. Most recently, Geronel has pioneered the use of physics-informed neural networks for dynamic modeling of a novel catamaran robot propelled by bio-inspired devices, demonstrating his versatility in applying machine learning to complex mechanical systems. His research trajectory—from UAV coordination to soft robotics and neural network-driven modeling—marks him as an innovative thinker shaping the future of autonomous, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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