Song Jing
Papers
1
Total Citations
3
H-Index
1
About
Song Jing is a researcher focused on the intersection of robotics, materials science, and patient care, with key contributions in the design and control of nursing robots. Her work addresses critical challenges in assistive robotics, particularly the stability and safety of robotic systems during patient-handling tasks. In her notable 2021 study, "Trajectory planning of the nursing robot based on the center of gravity for aluminum alloy structure," Jing investigated how the center of gravity influences movement stability when a robot performs the delicate task of holding a patient. By integrating aluminum alloy structures to enhance structural strength, she proposed trajectory planning methods that improve operational safety and reliability. This work, which has garnered 3 citations, lays foundational groundwork for developing more robust and secure nursing robots, directly impacting the field of human-robot interaction in healthcare. Jing's research is particularly relevant for advancing assistive technologies that prioritize patient safety and robotic efficiency, making her a promising voice in the engineering of next-generation caregiving systems.
Research Focus
Key Achievements
Top Papers
- 1