Xiaodong Wu

Sichuan University

Papers

2

Total Citations

20

H-Index

2

About

Xiaodong Wu is a multidisciplinary researcher whose work bridges robotics, human-computer interaction, and advanced materials science to advance the frontier of intelligent, human-centered technologies. With a focus on soft robotics and social robotics, Wu has made meaningful contributions to how machines interact with, assist, and adapt to human users across diverse contexts. Among Wu's most notable recent contributions is a 2025 study on intrinsically soft, fully recyclable robotic sensors capable of quadruple sensing functions — a significant leap forward in sustainable wearable and robotic technology that has already garnered 16 citations in its debut year, signaling strong early impact in the field. This work addresses critical challenges in human-robot interaction by combining mechanical flexibility with environmental responsibility. Wu has also contributed to the design of socially intelligent systems for vulnerable populations, including a 2018 investigation into graphical user interface design for social robots serving individuals with developmental disabilities. This user-centered research reflects a commitment to inclusive technology development, ensuring that robotic systems are both accessible and effective for those who need them most. Together, Wu's body of work reveals a researcher dedicated to making robotics more adaptive, sustainable, and humane.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Intrinsically soft and fully recyclable robotic sensors with quadruple sensing functions for reliable human-robot interactions
16 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Sichuan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago