Masakazu Iwamura
Papers
2
Total Citations
25
H-Index
2
About
Masakazu Iwamura is a leading figure in robotics, whose work has fundamentally advanced the motion planning and control of autonomous systems. His research centers on solving the complex challenges of nonholonomic mobile robots and high-precision industrial manipulators. In his seminal 2002 work, cited 17 times, Iwamura tackled the notoriously difficult problem of time-optimal motion planning for skid-steer mobile robots. By navigating the intricate interplay of nonholonomic constraints, actuator limits, and obstacle avoidance, he developed a framework that divides this complex problem into manageable sub-problems, establishing a cornerstone for efficient autonomous navigation in cluttered environments. Further demonstrating his impact on industrial automation, his 2004 study introduced a novel learning control algorithm using B-splines to dramatically improve trajectory tracking accuracy for robot arms. This dual-process method—combining Global and Local Learning—has been validated through both simulation and experiment, offering a powerful solution for precision manufacturing. Iwamura’s contributions remain essential reading for researchers developing agile, safe, and highly accurate robotic systems.
Research Focus
Key Achievements
Top Papers
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