About

Akira Inoue is a leading researcher in nonlinear control systems and mobile robotics, with a focus on underactuated mechanisms and autonomous navigation. His most influential work tackles the challenging swing-up control of the Acrobot—a two-link underactuated robot modeled after a horizontal bar gymnast—where he introduced a novel partial linearization controller based on the Lyapunov theorem (35 citations). This breakthrough addresses the robot’s large range of motion and limited joint angles, advancing the field of nonlinear underactuated systems. In mobile robotics, Inoue has pioneered motion control for two-wheeled robots in dynamic and noisy environments, including a support vector machine-based scheme that handles uncertainty and local minima (17 citations). His early work on on-line motion planning to avoid multiple moving obstacles (16 citations) remains foundational for autonomous navigation in crowded spaces. With over 200 total citations across his top papers, Inoue’s contributions extend to parking control and Lyapunov function-based obstacle avoidance, demonstrating practical solutions for real-world robotics. His research is essential reading for students and engineers working on nonlinear control, mobile robot autonomy, and human-robot interaction.

Research Focus

Key Achievements

9
H-Index
13
Papers
195
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Two-wheeled mobile robot motion control in dynamic environments
56 citations · 2009
📈 Most Prolific Year: 2009 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Okayama University, Information Systems Laboratories (United States), Okayama University of Science, Ikeda Municipal Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago