About

Ruijie He is a robotics and rehabilitation engineering researcher whose work spans autonomous aerial navigation and human-centered robotic systems. He first gained significant recognition through his pioneering contributions to GPS-denied autonomous flight, developing systems that enable quadrotor helicopters equipped with laser rangefinders to independently explore and map unknown indoor environments. His 2009 paper on autonomous indoor flight (203 citations) and the subsequent RANGE system (284 citations), which introduced robust navigation frameworks validated through rigorous experimentation, established him as a key figure in micro air vehicle (MAV) autonomy. His 2012 work on RGB-D camera-based estimation and mapping (164 citations) further advanced the field by leveraging low-cost depth sensors for visual odometry, broadening accessible solutions for mobile robotics. More recently, He has pivoted toward rehabilitation robotics, developing sEMG- and IMU-driven exoskeleton systems for home-based upper limb rehabilitation targeting stroke patients with hemiplegia. These newer systems incorporate cloud-based teleoperation and bilateral control modes, reflecting a commitment to accessible, patient-centered care. With over 650 citations across his most influential works, He's research demonstrates a consistent focus on enabling greater autonomy — whether in robotic vehicles or in patients reclaiming motor function.

Research Focus

Key Achievements

3
H-Index
6
Papers
658
Total Citations
110
Avg Citations/Paper
🏆 Most Cited Paper
RANGE–Robust autonomous navigation in GPS‐denied environments
284 citations · 2011
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Massachusetts Institute of Technology, Beijing Institute of Technology, Ministry of Industry and Information Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago