Amin Kiani

K.N.Toosi University of Technology

Papers

2

Total Citations

12

H-Index

2

About

Amin Kiani is a rising figure in the field of rehabilitation robotics, with a focused expertise in the design and control of lower-limb assistive devices. His research centers on the critical intersection of human biomechanics and robotic actuation, particularly for exoskeletons aimed at aiding mobility and rehabilitation. Kiani’s major contributions include pioneering the use of Long Short-Term Memory (LSTM) networks for trajectory planning in the "RoboWalk" exoskeleton, enabling the device to predict and replicate natural human gait patterns. This work, cited 6 times, addresses the fundamental challenge of generating safe and intuitive walking patterns for wearable robots. Furthermore, he has made significant strides in user safety and device validation by designing the first multipurpose test stand for the RoboWalk system, a novel contribution that allows for rigorous, pre-human testing of the stance leg’s mechanical and control performance. While his citation counts are currently modest, reflecting the early stage of his career, the foundational nature of his work on the RoboWalk platform positions him as a key contributor to the next generation of intelligent, safe, and effective rehabilitation technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
RoboWalk Trajectory Planning Based on the Human Gait Prediction Using LSTM
6 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: K.N.Toosi University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago