Kenji NAGASE
Papers
9
Total Citations
60
H-Index
4
About
Kenji Nagase is a robotics researcher whose work spans robotic manipulation, multi-fingered robot hand control, and the dynamics and optimization of robotic systems. His research has made meaningful contributions to the challenging problem of dexterous robotic grasping, particularly in developing unified frameworks for simultaneously controlling both object manipulation and contact point regulation under rolling contact constraints — a technically demanding area that bridges nonlinear control theory and robot kinematics. Nagase's earlier work, spanning the mid-2000s, established foundational methods for two-fingered robot hand control, including techniques for soft fingertip modeling and contact point estimation from noisy force sensor data. His formulation of contact point sensing as a nonlinear constrained optimization problem demonstrated practical ingenuity in addressing real-world sensor limitations. Later contributions expanded toward tree-type robotic systems, with a 2019 unified dynamics framework and a 2021 genetic-algorithm-based global design optimization paper earning 24 citations — his most impactful work to date. Collectively accumulating over 60 citations, Nagase's research offers valuable tools for researchers working on robotic manipulation, motion planning, and intelligent control, making his profile particularly relevant for those exploring advanced robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Estimation of Contact Point by Force Sensor with Measurement Noise7 citations · 2005
- 4Control of Grasping and Manipulation of an Object with Soft Finger-tips6 citations · 2004
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- 6Contact point sensing from force measurements disturbed by noise2 citations · 2009
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