Papers

2

Total Citations

4

H-Index

2

About

Lifeng Zhu is a rising researcher in the fields of rehabilitation robotics and medical interventional systems. His work focuses on automating and optimizing robotic assistance for both upper limb rehabilitation and bronchoscopic procedures. In a key 2023 contribution, Zhu pioneered a method for the individualized generation of upper limb training tasks for robot-assisted rehabilitation, using multi-objective optimization to automatically tailor game content and difficulty to each patient—addressing the high labor costs of manual customization. His 2024 research extends into interventional robotics, where he developed a mathematical model and control design for a bronchoscope robotic system aimed at precise pulmonary nodule biopsy. Though early in his career, with his most-cited works each garnering 2 citations, Zhu’s dual focus on patient-specific rehabilitation automation and precision control in medical robotics signals significant potential. His work bridges the gap between automated therapy generation and complex surgical robotics, offering promising pathways for reducing clinician burden while improving patient outcomes.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Individualized Generation of Upper Limb Training for Robot-assisted Rehabilitation using Multi-objective Optimization
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Southeast University, State Key Laboratory of Digital Medical Engineering

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago