Papers
2
Total Citations
21
H-Index
2
About
Dr. Zezheng Fu is pioneering the development of intuitive, hands-free human-robot interfaces (HRIs) designed to restore independence for individuals with severe motor impairments. His research focuses on assistive robotics and human-computer interaction, specifically targeting populations with high-level spinal cord injuries or limb disabilities. Fu’s major contributions include the creation of novel, non-invasive control systems that leverage mixed reality, gaze tracking, and facial electromyography (FEMG) signals. His 2023 work, "An Effective Head-Based HRI for 6D Robotic Grasping Using Mixed Reality" (17 citations), introduced a method for people with two-arm disabilities to grasp densely placed objects, overcoming the limitations of language- or gaze-only interfaces. Building on this, his 2024 study, "Empowering High-Level Spinal Cord Injury Patients in Daily Tasks With a Hybrid Gaze and FEMG-Controlled Assistive Robotic System" (4 citations), demonstrated a robust hybrid system that enables precise, real-time control of assistive robots for essential daily activities. By merging multimodal inputs, Fu’s research directly addresses the critical challenge of translating user intent into reliable robotic action, offering a tangible path toward enhanced quality of life and autonomy for those with profound physical limitations.
Research Focus
Key Achievements
Top Papers
- 1An Effective Head-Based HRI for 6D Robotic Grasping Using Mixed Reality17 citations · 2023
- 2