Dejing Ni
Papers
7
Total Citations
131
H-Index
6
About
Dejing Ni is a leading researcher in rehabilitation robotics, haptic interaction, and teleoperation systems, with a focus on enhancing human-robot collaboration for medical and assistive applications. Their most impactful work, "One-Therapist to Three-Patient Telerehabilitation Robot System for the Upper Limb after Stroke" (42 citations), pioneers scalable, cost-effective therapy solutions by enabling a single therapist to remotely supervise multiple stroke patients simultaneously—a breakthrough for expanding access to rehabilitation. Ni also advanced teleoperation with "Point Cloud Augmented Virtual Reality Environment with Haptic Constraints for Teleoperation" (30 citations), which uses real-time 3D point cloud data and haptic feedback to guide operators in unstructured environments, reducing cognitive load and improving precision. Additionally, their "Walking Assistant Robotic System for the Visually Impaired Based on Computer Vision and Tactile Perception" (30 citations) integrates computer vision with tactile feedback to aid navigation, demonstrating a commitment to inclusive technology. Across 7+ publications, Ni has accumulated over 130 citations, with key contributions in virtual fixture generation, dynamic modeling, and multi-mode haptic interaction—techniques that enhance operator intuition and safety in remote manipulation. Their work bridges virtual reality, robotics, and human perception, making complex teleoperation tasks more accessible and efficient.
Research Focus
Key Achievements
Top Papers
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- 5Multi-mode haptic interaction technique and its application9 citations · 2017
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