Guiliang Chen

Papers

Total Citations

H-Index

About

Guiliang Chen is a robotics researcher specializing in nursing-care automation and trajectory tracking control for industrial robots. His primary research areas include biomimetic robot design, patient transfer systems, and precision motion control for large-scale surface manipulation. Chen’s most significant contribution is the biomimetic design of a chest-carrying nursing-care robot for patient transfer tasks, a development that addresses one of the most physically demanding challenges in healthcare—lifting and moving bedridden patients between beds, wheelchairs, and pedestal pans. This work, published in 2018 and cited 17 times, demonstrates his innovative approach to imitating human motion patterns to enhance safety and efficiency in caregiving. Additionally, his 2009 study on mobile robot trajectory tracking control, based on interpolation methods, advanced the precision of polishing robots for large free-form surfaces, achieving robust tracking through kinematic modeling. While his citation counts reflect a focused, emerging impact, Chen’s work bridges critical gaps in assistive robotics and industrial automation, offering practical solutions for reducing caregiver strain and improving robot autonomy. His research is particularly relevant for students and engineers interested in human-robot interaction, healthcare robotics, and motion control systems.