Papers
22
Total Citations
730
H-Index
11
About
Geovany A. Borges is a Brazilian robotics researcher whose work spans mobile robot localization, geometric perception, surgical robotics, and advanced manipulator control. He is perhaps best known for his foundational contributions to line extraction from 2D range images, with his 2004 survey paper accumulating 291 citations and his earlier split-and-merge fuzzy clustering segmentation approach earning over 100 citations — work that became essential reading for researchers developing environment perception systems for mobile robots. Complementing this, Borges developed robust and optimal pose estimation algorithms using geometric maps, establishing reliable frameworks for robot self-localization in real-world environments. Beyond perception, Borges has made significant strides in robotic manipulation and surgical assistance. His research on robot-assisted steerable needle insertion with closed-loop imaging feedback, cited 80 times, represents a meaningful advance in precision medical robotics. His dual quaternion-based kinematic control framework for manipulators, with 54 citations, offers an elegant and mathematically rigorous approach to end-effector control. He has also explored rehabilitation robotics, including prosthetic limb orientation estimation, intuitive teleoperation via Kinect, and hardware-accelerated Kalman filtering for embedded robotic systems. Across these diverse domains, Borges consistently bridges theoretical rigor with practical implementation, making him a versatile and impactful figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Line Extraction in 2D Range Images for Mobile Robotics291 citations · 2004
- 2A split-and-merge segmentation algorithm for line extraction in 2D range images108 citations · 2002
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- 6Optimal mobile robot pose estimation using geometrical maps34 citations · 2002
- 7Semi-automatic needle steering system with robotic manipulator21 citations · 2012
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