Papers

2

Total Citations

10

H-Index

2

About

Arash T. Beydokhti is a researcher in assistive and rehabilitation robotics, with a focus on the design, testing, and safety of wearable lower-limb exoskeletons. His work centers on developing robust test stands and performance analysis frameworks for devices like RoboWalk, a robotic assistive system aimed at enhancing mobility for individuals with lower-limb disabilities. Beydokhti’s major contributions include the first-ever multipurpose test stand for the stance leg of a wearable robot, addressing a critical gap in user safety and component validation. His most-cited paper, “Optimal Design of a Multipurpose Test Stand for RoboWalk Assistive Device” (2021, 6 citations), introduces a novel testing platform that ensures reliable performance before human trials. A follow-up study (2022, 4 citations) provides detailed performance analysis, further advancing the field. Though early in his career, Beydokhti’s work is foundational for safer, more effective exoskeleton development, bridging mechanical design with real-world rehabilitation needs. His research is particularly valuable for students and engineers interested in the intersection of robotics, biomechanics, and assistive technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Design of a Multipurpose Test Stand for RoboWalk Assistive Device
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: K.N.Toosi University of Technology, Robotics Research (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago