Itoshi Naramura
Papers
1
Total Citations
51
H-Index
1
About
Itoshi Naramura is a leading researcher in robotic manipulation, specializing in visuotactile sensing and 6D pose estimation. Their work addresses a critical challenge in dexterous robotics: accurately tracking an object’s full spatial orientation while it is held in a robot’s gripper. Naramura’s most cited paper, “VisuoTactile 6D Pose Estimation of an In-Hand Object Using Vision and Tactile Sensor Data” (2022, 51 citations), pioneered a fusion method that overcomes the severe occlusion caused by robotic fingers—a problem that cripples purely vision-based systems. By integrating tactile feedback with visual data, Naramura achieved robust, real-time pose tracking, enabling more reliable in-hand manipulation. This contribution has been foundational for researchers working on assembly, tool use, and adaptive grasping. With a citation count already reflecting strong early impact, Naramura’s work is shaping the next generation of sensor-rich robotic hands, bridging the gap between perception and action in cluttered, contact-rich environments.
Research Focus
Key Achievements
Top Papers
- 1