Papers
84
Total Citations
1,392
H-Index
20
About
Jun Ueda is a prolific robotics and biomedical engineering researcher whose work spans rehabilitation robotics, surgical robotics, haptics, and micro-scale fabrication. Best known for his pioneering research in exoskeleton-based muscle control, Ueda's 2010 study on individual muscle control using exoskeleton robots (113 citations) demonstrated how wearable robotic systems can precisely modulate muscle activation patterns, offering transformative potential for stroke and spinal cord injury rehabilitation. His earlier work on pinpointed muscle force control (68 citations) and the NAIST multifingered robotic hand (94 citations) established him as a leading voice in dexterous robotic manipulation and power-assist technologies. Ueda's research extends into MRI-compatible surgical robotics, with notable contributions in piezoelectric end-effectors and needle positioning systems designed to operate safely within magnetic resonance environments. His 2018 construction worker exoskeleton study (65 citations) reflects a commitment to translating robotics into real-world occupational safety applications. More recently, his team achieved a remarkable feat in miniaturization with the fabrication of a 5 mg micro-bristle-bot using two-photon lithography (50 citations). Across over a decade of diverse contributions, Ueda's research consistently bridges fundamental robotics principles with meaningful human-centered applications in healthcare, industry, and beyond.
Research Focus
Key Achievements
Top Papers
- 1Individual Muscle Control Using an Exoskeleton Robot for Muscle Function Testing113 citations · 2010
- 2Development of the NAIST-Hand with Vision-based Tactile Fingertip Sensor94 citations · 2006
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- 4A Robotic Wearable Exoskeleton for Construction Worker’s Safety and Health65 citations · 2018
- 5The multifingered NAIST hand system for robot in-hand manipulation59 citations · 2009
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- 7Slip-adaptive walk of quadruped robot52 citations · 2005
- 8A 5 mg micro-bristle-bot fabricated by two-photon lithography50 citations · 2019
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