Papers
2
Total Citations
18
H-Index
2
About
Naofumi Mori explores the intersection of bio-inspired robotics and smart material actuation, with key research areas including passive dynamic walking, shape memory alloy (SMA) control, and iterative learning systems. His most cited work, “Simulation verification for the robustness of passive compass gait with a joint stiffness adjustment” (2019, 14 citations), investigates how passive walking robots achieve smooth, sensor-free locomotion down slopes by harnessing potential-to-kinetic energy conversion. Mori demonstrates that joint stiffness adjustments enhance gait robustness, offering insights into energy-efficient bipedal motion. In “Experiment Verification and Stability Analysis of Iterative Learning Control for Shape Memory Alloy Wire” (2019, 4 citations), he tackles the challenge of precise control for small-scale robot manipulators. By applying iterative learning control to SMA wires—which contract when heated via adjusted voltage—Mori mitigates the strong hysteresis inherent in these actuators, advancing their reliability for compact robotics. His work bridges theoretical stability analysis with experimental validation, contributing to both passive dynamics and smart material applications. With a growing citation record, Mori’s research holds promise for developing lightweight, energy-efficient robotic systems that require minimal sensory feedback.
Research Focus
Key Achievements
Top Papers
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