Yuki Tanaka

Keio University

Papers

2

Total Citations

5

H-Index

2

About

Yuki Tanaka is a pioneering researcher in advanced robotics control, specializing in disturbance rejection, sensorless force estimation, and intelligent task management for multi-degree-of-freedom industrial manipulators. His work addresses critical challenges in enabling robots to perform complex, human-like tasks with precision and robustness. Tanaka’s major contributions include the development of a Gated Recurrent Unit-based Virtual Environment Quarrier for sensorless reaction torque regulation, a method that effectively isolates non-linear friction and gear compliance from disturbance estimates to achieve accurate environmental force sensing without physical sensors. This innovation, detailed in his 2024 paper, has garnered 3 citations and promises to enhance safety and adaptability in industrial automation. Additionally, his 2023 paper on a Task Switching Model using Behavior Trees for acceleration control, with 2 citations, introduces a novel framework for decomposing complex tasks into subtasks, enabling seamless transitions and efficient execution. Tanaka’s work is notable for its practical impact on replacing human labor amid demographic shifts, offering scalable solutions for next-generation manufacturing and service robotics. His research continues to influence the field of robust, sensorless control and intelligent task orchestration.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Sensorless Reaction Torque Regulation of Multi-DoF Industrial Manipulator Using Gated Recurrent Unit-Based Virtual Environment Quarrier
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Keio University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago