Papers
26
Total Citations
225
H-Index
8
About
Kenichi Murakami is a robotics researcher whose work spans high-speed robotic manipulation, visual control systems, and compliant motion strategies. His research is particularly distinguished by its focus on bridging the gap between rapid robotic action and precise, adaptive control — a challenge central to advancing practical automation. Murakami's most influential contribution, "Fast Peg-and-Hole Alignment Using Visual Compliance" (49 citations), introduced a decoupled alignment strategy for handling large positional uncertainty, demonstrating his early command of sensor-driven robotic dexterity. He further advanced the field through impedance and deformation control frameworks, notably applying Maxwell and Voigt viscoelastic models to govern how robotic arms absorb and respond to physical impacts — work that has collectively attracted over 40 citations across multiple studies. His research on high-speed catching, including delicate soft-object manipulation such as catching marshmallows and paper balloons without deformation, showcases a rare combination of mechanical insight and real-time vision processing. More recently, he has expanded into industrial applications with vision-based trajectory compensation systems. Across human-robot cooperation, assistive wearables, and dynamic ball manipulation tasks, Murakami's body of work reflects a consistent commitment to making robots faster, smarter, and more physically adaptive in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Fast peg-and-hole alignment using visual compliance49 citations · 2013
- 2Impedance Control Design Based on Plastic Deformation for a Robotic Arm34 citations · 2016
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- 4Visual shock absorber based on maxwell model for anti-rebound control20 citations · 2015
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- 8Vision based trajectory dynamic compensation system of industrial robot8 citations · 2024
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