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
Top Papers
- 1
- 2Cross-Modal Reconstruction for Tactile Signal in Human–Robot Interaction4 citations · 2022
- 3A Solution of Human-Computer Remote Interaction with Tactile Feedback2 citations · 2021
- 4