Papers

2

Total Citations

21

H-Index

2

About

Ce Liu’s research lies at the critical intersection of human-robot interaction, assistive technology, and developmental robotics, with a focused mission to improve motor learning for children with autism spectrum disorder (ASD). Her most significant contribution is the development of an interactive training system that leverages movement imitation and synchronous speech instructions, enabling a child and a NAO humanoid robot to learn from each other in a natural, engaging loop. By using skeleton tracking via a depth camera, her platform allows the robot to both demonstrate actions and correct the child’s movements in real time. This work, published in 2016, has garnered 16 citations, reflecting its influence in the growing field of robot-assisted therapy. Her earlier 2015 paper, with 5 citations, laid the groundwork by establishing a coaching platform where the robot mimics upper limb movements to guide children through physical exercises. Liu’s research is notable for its practical, human-centered design—transforming abstract robotics into a tangible tool for social and motor skill development. Her achievements highlight a promising path toward scalable, affordable interventions for ASD, making her a rising voice in assistive robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
An interactive training system of motor learning by imitation and speech instructions for children with autism
16 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Changzhou Institute of Technology, Changzhou Academy of Intelli-Ag Equipment (China)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago