Papers
16
Total Citations
263
H-Index
10
About
Jun-ichiro Furukawa is a prominent robotics researcher whose work sits at the compelling intersection of neural interfaces, exoskeleton systems, and human-robot interaction. His research primarily focuses on Brain-Machine Interfaces (BMI), electromyography (EMG)-based control, and assistive and rehabilitation robotics — fields with profound implications for individuals with motor impairments. Furukawa's most influential contribution, his 2012 paper on brain-controlled exoskeleton robots for BMI rehabilitation (64 citations), established a foundational framework linking EEG systems directly to robotic exoskeletons, opening new avenues for neurologically-driven physical therapy. This work laid the groundwork for subsequent investigations into shoulder exoskeleton design for severe impairments and BMI-triggered humanoid robot control. A recurring theme across his portfolio is robustness and reliability. His work on fault-tolerant biosignal control and sensor-failure detection (2015–2017, totaling 44 citations) addresses a critical real-world challenge: ensuring safe robot operation when EMG electrodes malfunction. More recently, his research on muscle synergy optimization and passive proprioceptive training demonstrates a growing interest in how humans and machines can co-adapt intelligently. Collectively, Furukawa's publications reflect a researcher deeply committed to translating neuroscience and engineering into practical assistive technologies that meaningfully improve human motor function and quality of life.
Research Focus
Key Achievements
Top Papers
- 1Brain-controlled exoskeleton robot for BMI rehabilitation64 citations · 2012
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- 5An electromyogram based force control coordinated in assistive interaction21 citations · 2013
- 6Brain-machine interfacing control of whole-body humanoid motion19 citations · 2014
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- 9Fault tolerant approach for biosignal-based robot control11 citations · 2015
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