Hongwu Li

Harbin Institute of Technology

Papers

2

Total Citations

9

H-Index

2

About

Hongwu Li is a robotics researcher specializing in wearable robotic systems, with a focus on lower extremity exoskeletons and supernumerary robotic limbs. His work addresses critical challenges in human mobility assistance and augmentation, particularly for elderly populations and multitask adaptation. Li’s most cited paper, "Tripping Avoidance Lower Extremity Exoskeleton Based on Virtual Potential Field for Elderly People" (2020, 6 citations), introduces a novel approach to preventing falls by using virtual potential fields to guide exoskeleton-assisted walking over obstacles and stairs—eliminating the need for cameras or map reconstruction. This contribution directly targets age-related mobility decline, offering a practical, sensor-light solution for real-world environments. In his more recent work, "Configuration Design and Analysis of Reconfigurable Supernumerary Robotic Legs for Multitask Adaptation: SuperLegs" (2023, 3 citations), Li explores kinematically independent robotic limbs that expand human physical capabilities beyond traditional exoskeletons. By designing reconfigurable supernumerary legs, he enables wearers to perform diverse tasks—such as extra support or manipulation—without constraining natural limb movement. Li’s research bridges assistive robotics and human augmentation, with potential applications in rehabilitation, industrial work, and elderly care. His innovative use of virtual potential fields and reconfigurable designs marks him as a rising contributor to the field of wearable robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Tripping Avoidance Lower Extremity Exoskeleton Based on Virtual Potential Field for Elderly People
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Harbin Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago