Papers
3
Total Citations
9
H-Index
3
About
Mingqi Chen is a robotics researcher whose work spans bimanual teleoperation, dexterous manipulation, and surgical robotics. His key contributions lie in developing immersive human-robot interaction systems that enhance operator precision and reduce cognitive load. Chen’s most cited paper (2025) introduces an immersive virtual reality bimanual telerobotic system with haptic feedback, achieving 3 citations by integrating multimodal sensory feedback for more intuitive control. His 2024 work on designing a dexterous hand—featuring 16 degrees of freedom across four fully actuated fingers—demonstrates significant advances in teleoperated manipulation, enabling precise, flexible movements through independent motor control per joint. In 2022, Chen addressed clinical needs with a static force analysis of a 3-DOF robot for spinal vertebral lamina milling, proposing an asymmetrical spatial translational robot optimized for robot-assisted laminectomy surgery. This work targets fixed-posture procedures with high accuracy in human-robot collaboration. With three papers each garnering 3 citations, Chen’s research is foundational in merging virtual reality, haptics, and surgical robotics, offering practical solutions for teleoperation and medical applications. His innovative designs and focus on user-centered feedback systems position him as an emerging contributor to the field of advanced robotic interfaces.
Research Focus
Key Achievements
Top Papers
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