Papers
6
Total Citations
50
H-Index
4
About
Shigeki Hori is a pioneering researcher at the intersection of biomedical engineering and robotics, whose work has fundamentally advanced human-machine interaction and surgical automation. His primary research areas span brain-computer interfaces (BCI), wearable robotics, and autonomous surgical systems. Hori’s most influential contribution is his groundbreaking work on electroencephalogram (EEG)-based control of mobile robots, where he developed novel algorithms to detect directional thinking—specifically “going left” or “going right”—enabling direct brain-controlled navigation. This foundational research, published in 2004 and 2005, has accumulated over 30 citations and established key principles for non-invasive BCI applications. In parallel, Hori made significant strides in wearable robotics through his work on ultrasonic sensor disks for detecting muscular force, a critical advancement for exoskeleton power suits that require accurate sensing of human motion intention. More recently, Hori has applied deep learning to surgical robotics, developing methods to estimate future needle positions in suturing operations and predict forceps movement for autonomous camera control in laparoscopic surgery. These cutting-edge contributions, published in 2022, demonstrate his continued impact on semi-autonomous surgical systems, promising to reduce surgeon fatigue and improve operational efficiency in minimally invasive procedures.
Research Focus
Key Achievements
Top Papers
- 1Electroencephalogram-based control of a mobile robot16 citations · 2004
- 2Ultrasonic sensor disk for detecting muscular force14 citations · 2004
- 3Electroencephalogram‐based control of a mobile robot12 citations · 2005
- 4
- 5Electroencephalogram-based Control of a Mobile Robot3 citations · 2004
- 6