Papers

3

Total Citations

17

H-Index

2

About

Yanan Chen is a researcher advancing the frontiers of human-computer interaction (HCI) and robotic teleoperation, with a focus on multi-modal signal processing and tactile feedback systems. Her work addresses critical challenges in bridging human sensory and motion channels with robotic systems for applications in industry, healthcare, and education. Chen’s most notable contribution is her 2023 paper, "Toward General Cross-Modal Signal Reconstruction for Robotic Teleoperation," which has garnered 13 citations—a strong indicator of its growing influence in the field. This work proposes a framework for reconstructing multi-modal signals, enhancing the naturalness and efficiency of teleoperation by integrating voice, handwriting, posture, and vision. Additionally, her 2021 study on tactile feedback in remote HCI systems and her 2019 exploration of path planning for service robots using improved genetic algorithms demonstrate her versatility in tackling both hardware and algorithmic challenges. Chen’s research is particularly impactful for students and researchers interested in creating more intuitive, responsive robotic systems that seamlessly interact with human operators, laying groundwork for future innovations in telepresence and assistive robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
17
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Toward General Cross-Modal Signal Reconstruction for Robotic Teleoperation
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Nanjing University of Posts and Telecommunications, Shanghai Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago