Papers

15

Total Citations

81

H-Index

5

About

Tongjia Zheng is a robotics and control systems researcher whose work spans swarm robotics, soft robotics, and multi-robot coordination — fields at the intersection of modern AI and advanced control theory. His research addresses some of the most computationally and mathematically demanding challenges in autonomous systems, consistently pushing the boundaries of what large-scale robotic systems can achieve. Among his most influential contributions is his development of spatial-temporal logic and density feedback control frameworks for coordinating swarm robotic systems, work that has attracted 15 citations and offers scalable solutions for controlling thousands of robots simultaneously. Zheng has also made significant strides in soft robotics, applying PDE-based modeling and Cosserat theory to enable real-time state estimation and feedback control of continuum robots — systems notorious for their infinite degrees of freedom and modeling complexity. His 2024 boundary observer work has already garnered 8 citations, reflecting rapid uptake in the community. A particularly compelling strand of his research tackles multi-robot-assisted crowd evacuation, combining two-scale modeling, social force interactions, and navigation velocity fields to enable small robot teams to safely guide large human populations. With a growing citation record across diverse subfields, Zheng is establishing himself as a versatile and rigorous voice in next-generation robotics and control.

Research Focus

Key Achievements

5
H-Index
15
Papers
81
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Complex pattern generation for swarm robotic systems using spatial-temporal logic and density feedback control
15 citations · 2020
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Notre Dame, South China University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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