Junhao Ma

Beibu Gulf University

Papers

1

Total Citations

2

H-Index

1

About

Junhao Ma is a rising researcher in the field of rehabilitation robotics, with a focused interest in intelligent human-robot interaction and sensor fusion technologies. His work centers on developing advanced motion intent recognition algorithms for lower limb rehabilitation robots, aiming to create more responsive and adaptive assistive devices for patients with mobility impairments. Ma’s key contribution lies in the innovative fusion of dual-physics sensor features, which integrates complementary data streams to more accurately predict a user’s intended movement. This approach addresses a critical challenge in rehabilitation robotics: the need for real-time, precise detection of human motion intent to enable seamless, natural assistance. While his most-cited paper, published in 2024, has garnered 2 citations, it represents a foundational step in a promising research trajectory. Ma’s work is particularly notable for its potential to improve the quality of life for individuals undergoing lower limb rehabilitation, offering a pathway toward more intuitive and effective robotic therapy. As his research continues to develop, it holds promise for advancing the field of assistive robotics and human-machine collaboration.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Motion Intent Recognition Algorithm for Lower Limb Rehabilitation Robots Based on Dual-Physics Sensor Feature Fusion
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Beibu Gulf University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago