Dante Archangeli

University of Utah

Papers

2

Total Citations

32

H-Index

2

About

Dante Archangeli is a leading researcher in the field of wearable robotics and human-machine interaction, with a primary focus on the design and control of powered exoskeletons for gait assistance. His work addresses two critical challenges: improving the robustness of human-robot interfaces and expanding the capabilities of assistive devices. A major contribution is his development of a lightweight, powered hip exoskeleton that provides parallel actuation for both frontal and sagittal plane assistance (8 citations). This design is notable for tackling mediolateral balance, a key limitation of traditional exoskeletons that only assist forward motion. Furthermore, Archangeli’s research on electromyographic (EMG) control algorithms has demonstrated that robust torque predictions can be achieved across multiple levels of active exoskeleton assistance, even when locomotor output is non-linearly reorganized (24 citations). This work is pivotal for creating intuitive, responsive devices that adapt to a user’s natural movement. By integrating advanced control theory with mechanical design, Archangeli is paving the way for next-generation exoskeletons that can significantly improve mobility and balance for individuals with gait impairments.

Research Focus

Key Achievements

2
H-Index
2
Papers
32
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Robust Torque Predictions From Electromyography Across Multiple Levels of Active Exoskeleton Assistance Despite Non-linear Reorganization of Locomotor Output
24 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Utah

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago