Papers
12
Total Citations
75
H-Index
5
About
Higor Barbosa Santos is a leading researcher in the field of autonomous robotics, with a primary focus on climbing robots, intelligent perception systems, and fuzzy logic control. His most impactful work centers on the development of model predictive torque control for velocity tracking in four-wheeled climbing robots, a paper that has garnered 17 citations and addresses the complex nonlinear dynamics of adhesion-based mobility. Santos has made significant contributions to inspection robotics, pioneering quasi-omnidirectional fuzzy control strategies for climbing robots used in industrial tank inspections, and developing novel path planning and environment identification methods for autonomous non-destructive testing (NDT) of spherical storage tanks. His research extends to cooperative multi-robot systems, where he has demonstrated the use of fuzzy logic controllers for collaborative load transport. Notably, Santos has advanced robotic perception through intelligent 3D systems that leverage computer vision and machine learning for semantic environment description, and has explored GPU-accelerated point cloud processing to enhance real-time environmental interaction. With a portfolio of highly cited works spanning control systems, perception, and autonomous navigation, Santos is recognized for bridging theoretical control methods with practical robotic applications in hazardous industrial environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Quasi-Omnidirectional Fuzzy Control of a Climbing Robot for Inspection Tasks13 citations · 2017
- 3Cooperative load transport based on fuzzy logic controllers8 citations · 2016
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- 6Robots Perception Through 3D Point Cloud Sensors5 citations · 2017
- 7Control of Mobile Robots Using ActionLib4 citations · 2017
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