Qianqian Tian

Hebei University of Technology, University of Jinan

Papers

Total Citations

H-Index

About

Qianqian Tian’s research lies at the intersection of haptic robotics and medical intervention, where she explores how the human sense of touch can inform and improve robotic systems. Her most cited work, “Tactile Features of Human Finger Contact Motor Primitives” (2023, 8 citations), investigates the relationship between finger movement patterns and tactile feedback, offering foundational insights into the nature of touch that can advance prosthetic and robotic gripper design. In parallel, Tian has made significant contributions to medical robotics, particularly in breast tumor surgery. Her papers on needle insertion robots (2017, 5 citations; 2016, 4 citations) address critical challenges in minimally invasive procedures, such as tissue deformation and target displacement, proposing novel robotic concepts for accurate needle guidance. Most recently, her 2024 work on path planning for puncture robots, using an improved artificial potential field method (3 citations), tackles collision avoidance in complex clinical environments. With a growing citation record and a focus on translating tactile science into surgical precision, Tian’s work is shaping the future of touch-aware medical robotics.