Bluest Lan

The University of Tokyo

Papers

2

Total Citations

23

H-Index

2

About

Bluest Lan is a researcher at the intersection of rehabilitation robotics and bio-inspired sensing systems. Their work spans two distinct but equally innovative domains: designing mechanical systems for physical therapy and developing biologically inspired sensors for robotic navigation. In the field of rehabilitation engineering, Lan introduced a novel kinematic design for a footplate drive mechanism using a 3-DOF parallel mechanism, specifically engineered for walking rehabilitation devices. This contribution addresses the critical need for more effective, accessible rehabilitation solutions for individuals with mobility impairments, offering a mechanically precise approach to gait therapy. Simultaneously, Lan has made notable advances in bio-robotics by developing the "Dropping Counter" algorithm, a detection method for identifying odour-evoked responses from noisy electroantennograms measured by flying robots. This work adapts insect-inspired olfactory sensing—leveraging the rapid response and high sensitivity of insect antennae—for mobile robotic platforms, a previously underexplored application. With over 20 combined citations across their most-cited papers, Lan’s research demonstrates a unique ability to bridge mechanical engineering and neuro-robotics, pushing the boundaries of both assistive technology and autonomous sensing. Their work offers promising pathways for next-generation rehabilitation devices and odor-tracking aerial robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Kinematic design of a footplate drive mechanism using a 3-DOF parallel mechanism for walking rehabilitation device
12 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago