Shukrullo Nazirjonov
Papers
1
Total Citations
11
H-Index
1
About
Shukrullo Nazirjonov is a robotics researcher whose work sits at the intersection of tactile sensing, haptics, and teleoperation. His primary research focuses on developing vision-based tactile sensors and leveraging them for precise force estimation in robotic systems. In his most cited work, "Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation" (2023, 11 citations), Nazirjonov addresses a critical challenge in the field: how to extract reliable haptic information from tactile sensors during in-hand manipulation. By enabling these sensors to provide accurate contact force data, his research paves the way for more intuitive and responsive teleoperation systems—a key enabler for applications in remote surgery, hazardous environment manipulation, and advanced prosthetics. His contributions are particularly notable for bridging the gap between visual sensing and tactile feedback, a problem that has long hindered the development of dexterous robotic hands. With his work gaining traction in the robotics community, Nazirjonov is establishing himself as a promising voice in the push toward more human-like robotic manipulation.
Research Focus
Key Achievements
Top Papers
- 1