Papers

2

Total Citations

10

H-Index

2

About

Sora Nagao is a rising researcher in the field of advanced motion control for industrial robotics, with a focus on vibration suppression and high-precision actuation. Nagao’s key research areas include two-inertia system control, load-side acceleration control, and sensor-based feedback compensation. Their most-cited work, “Load-side Acceleration Control Based on Single Inertialization Compensator and Jerk Observer for Industrial Robots” (2023, 7 citations), introduces a novel method for directly controlling load-side acceleration to suppress vibrations in industrial robots. By combining a single inertialization compensator (SIC) with a jerk observer (JOb), Nagao provides a robust solution for improving robot performance in high-speed, high-precision tasks. In a subsequent 2024 paper (3 citations), Nagao addresses the critical issue of acceleration sensor bias drift, proposing an acceleration bias drift observer that mitigates velocity response errors. This work is particularly notable for its practical implications in real-world industrial settings where sensor accuracy is paramount. Though early in their career, Nagao’s contributions are already shaping the next generation of robot control systems, offering elegant solutions to persistent challenges in mechatronics.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Load-side Acceleration Control Based on Single Inertialization Compensator and Jerk Observer for Industrial Robots
7 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Nagaoka University, Nagaoka University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago