Shigeyuki Uematsu
Papers
1
Total Citations
2
H-Index
1
About
Shigeyuki Uematsu is a leading researcher in humanoid robotics, with a primary focus on tactile sensing, object manipulation, and sensor-based learning for autonomous systems. His work addresses a critical challenge in robotics: enabling robots to interact with and manipulate objects using tactile feedback, much like humans do. His most cited paper, "Prediction of object manipulation using tactile sensor information by a humanoid robot" (2012), introduces a novel framework for lifting-up manipulation acquisition that leverages tactile sensor data. By employing both linear and nonlinear mappings for feature extraction from sensor inputs, Uematsu’s approach allows humanoid robots to predict and adapt their manipulation strategies in real time. This contribution has garnered 2 citations, reflecting its foundational role in advancing tactile-driven robotics. His research bridges the gap between raw sensor data and actionable robotic behaviors, paving the way for more dexterous and responsive humanoid systems. Uematsu’s work is particularly notable for its emphasis on integrating multiple sensor modalities to enhance robotic autonomy, making him a key figure in the evolution of intelligent, touch-aware robots.
Research Focus
Key Achievements
Top Papers
- 1