Papers

4

Total Citations

11

H-Index

2

About

Mingkai Chen is a pioneering researcher at the forefront of human-robot interaction (HRI) and multimodal communication, with a focus on integrating tactile feedback into next-generation robotic systems. His work bridges the gap between visual and tactile modalities, enabling more intuitive and natural collaboration between humans and machines. Chen’s major contributions include developing cross-modal reconstruction methods that allow robots to infer tactile information—such as interaction force—from visual cues alone, a breakthrough that enhances remote operation and safety in dynamic environments. His highly cited review on multimodal communications for human-robot collaboration in 5G (2025, 4+ citations) synthesizes advances in wireless communication, AI, and sensor technologies, charting a path from single-function actuators to intelligent task-processing platforms. Chen has also designed innovative solutions for human-computer remote interaction with tactile feedback, improving the efficiency of multi-sensory channels like voice, posture, and vision. With a growing citation impact and a clear vision for the future of collaborative robotics, Chen is shaping how humans and machines work together in complex, real-world settings.

Research Focus

Key Achievements

2
H-Index
4
Papers
11
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A review on multimodal communications for human-robot collaboration in 5G: from visual to tactile
4 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Nanjing University of Posts and Telecommunications

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago