Osamu Sakata
Papers
2
Total Citations
22
H-Index
2
About
Osamu Sakata’s research centers on the intersection of nonlinear control theory, robotics, and safety-critical systems. His major contributions lie in advancing trajectory-tracking control for autonomous and robotic systems, with a particular focus on ensuring robust performance under uncertainty and real-time obstacle avoidance. In his highly cited 2020 work (16 citations), Sakata pioneered the application of relaxed control barrier functions (CBFs) to obstacle avoidance, offering a streamlined design that has proven especially valuable for human-assist control problems. Building on this, his 2021 paper (6 citations) introduced a robust adaptive controller for input-affine nonlinear systems, leveraging input-to-state stability tracking control Lyapunov functions (ISS-TCLF) to guarantee stability despite input uncertainties and external disturbances. These contributions are critical for the safe deployment of autonomous vehicles, drones, and collaborative robots. Sakata’s work is notable for bridging theoretical rigor with practical implementability, making his methods accessible for real-world engineering challenges. His research continues to shape how modern control systems achieve both high performance and safety guarantees.
Research Focus
Key Achievements
Top Papers
- 1
- 2