Yanping Chen

Papers

Total Citations

H-Index

About

Dr. Yanping Chen is a leading researcher in intelligent robotics and haptic feedback systems, with a focus on advancing autonomous navigation and teleoperated medical interventions. Her most cited work, "Path planning for intelligent robot based on switching local evolutionary PSO algorithm" (2016, 90 citations), introduces a novel particle swarm optimization (PSO) approach enhanced by a non-homogeneous Markov chain and differential evolution. This method enables efficient three-dimensional path planning for robots navigating obstacle-rich environments, significantly improving adaptability and convergence speed over traditional algorithms. The paper’s high citation count reflects its substantial impact on the field of swarm intelligence and autonomous robotics. Dr. Chen also contributes to medical robotics through her work on "A haptic force feedback system for teleoperated needle insertion" (2017), which addresses critical safety and precision challenges in remote procedures by providing real-time tactile feedback to physicians, reducing their reliance on repeated X-ray exposure. This research bridges robotics and healthcare, offering practical solutions for minimally invasive surgery. Dr. Chen’s contributions are widely recognized for their technical rigor and real-world applicability, making her a key figure in the development of intelligent, human-centered robotic systems.