Yingqing Xu

Tsinghua University, Academy of Arts

Papers

2

Total Citations

19

H-Index

2

About

Yingqing Xu is a pioneering researcher in modular robotics and intelligent sensing systems, with a focus on democratizing robotics for non-expert users. Their most-cited work, "WalkingBot: Modular Interactive Legged Robot with Automated Structure Sensing and Motion Planning" (2020, 11 citations), introduces a groundbreaking platform that enables users to construct multi-legged robots in diverse morphologies using sensor- and actuator-embedded building blocks. This system automatically interprets the kinematic model of the assembled robot, allowing for intuitive motion planning without specialized expertise—a major contribution to accessible robotics. Xu’s more recent work, "An electronic nose device with rapid and universal odor detection capability" (2025, 8 citations), demonstrates versatility by advancing sensor technology for real-time environmental monitoring. Together, these contributions highlight Xu’s impact in bridging hardware modularity with automated intelligence, fostering innovation in interactive robotics and sensing. Their research not only achieves notable citation counts but also empowers broader participation in robotics design, making complex systems approachable for students and researchers alike.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
WalkingBot: Modular Interactive Legged Robot with Automated Structure Sensing and Motion Planning
11 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Tsinghua University, Academy of Arts

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago