Rinat Ibrayev
Papers
1
Total Citations
16
H-Index
1
About
Dr. Rinat Ibrayev is a researcher whose work lies at the intersection of robotics, tactile sensing, and 3D object recognition. His most cited contribution, "Recognition of Curved Surfaces From 'One-Dimensional' Tactile Data" (2012, 16 citations), introduces an innovative method for enabling robots to identify three-dimensional objects with curved surfaces using minimal, linear tactile input. By constructing precomputed lookup tables of principal curvatures for each surface model in a database, Dr. Ibrayev’s approach allows a robot to efficiently match tactile readings to known objects, effectively overcoming the challenge of recognizing complex geometries from sparse data. This work has implications for advancing robotic manipulation and haptic feedback systems, particularly in unstructured environments where visual data may be limited. While his citation count reflects a focused, early-career impact, the conceptual elegance of his method—translating one-dimensional tactile streams into robust 3D recognition—marks him as a contributor to the foundational literature in tactile robotics. His research continues to inspire developments in sensor-based object identification and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Recognition of Curved Surfaces From “One-Dimensional” Tactile Data16 citations · 2012