Masaki Okada
Papers
3
Total Citations
48
H-Index
3
About
Masaki Okada is a leading researcher in advanced control systems for human-robot interaction, with a focus on developing intuitive and safe autonomous robots. His work centers on two-wheeled service robots and companion robots, where he addresses critical challenges in human-following and cooperative movement. Okada’s major contributions include designing human-friendly control architectures that integrate optimal control and uncertainty-aware non-linear model predictive control (NMPC). In his 2021 study, he pioneered a method for companion robots to predict human walking patterns while accounting for prediction uncertainty, enabling proactive yet non-obstructive assistance that respects personal space. His foundational 2006 work on the Acrobot system introduced a novel parameter identification technique using the Unscented Kalman Filter (UKF) for underactuated robots, achieving robust swing-up and balancing control. Each of his most-cited papers has garnered 16 citations, reflecting consistent impact across diverse robotic platforms. Okada’s research bridges theoretical control theory and practical human-centered design, making him a key figure in the evolution of assistive and service robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Parameter Identification and Swing-up Control of an Acrobot System16 citations · 2006