I. Gubarev

Papers

Total Citations

H-Index

About

I. Gubarev is a leading researcher in robotic tactile perception and 3D shape reconstruction, with a focus on enabling humanoid robots to interpret physical environments through touch. Their most-cited work, "Robust shape recovery for sparse contact location and normal data from haptic exploration" (2008, 30 citations), addresses a critical challenge in robotics: reconstructing object shapes from the inherently sparse and noisy tactile data acquired by multi-fingered robot hands. Gubarev’s major contribution lies in developing robust algorithms that can infer accurate 3D geometry from limited contact points and surface normals, overcoming the limitations of current tactile sensor technology. This work is foundational for advancing autonomous manipulation and haptic exploration in humanoid systems, where precise object recognition is essential for tasks like grasping and assembly. While their citation count reflects a specialized niche, Gubarev’s research has influenced subsequent studies in tactile sensing and shape recovery, bridging the gap between sparse sensory input and reliable spatial understanding. Their achievements underscore the importance of robust computational methods in making robotic touch a viable tool for real-world interaction.