CV

Email: tdu35 [at] wisc [dot] edu
Google Scholar: link · LinkedIn: link · GitHub: Tingting-Olivia-Du
Research Interests: Robotics · Human-Robot Collaboration · Vision-Language-Action Models · LLM Reasoning
Updated: 2026-10-16

Download CV (PDF)

Education

• B.S., Computer Science and Mathematics, University of Wisconsin-Madison (Jan 2025 – May 2027, expected)
  GPA: 3.86/4.00 · Dean’s List · Coursework: Autonomous Robotics, Operating Systems, Neural Networks
• Visiting Student, Computer Science, University of California, Berkeley (Aug 2023 – Jun 2024)
  GPA: 3.77/4.00 · Global Access Scholarship · Coursework: Real Analysis, Data Structures, Algorithms, Artificial Intelligence
• Undergraduate, Linguistics, Ningbo University (Sep 2021 – Jun 2023)
  GPA: 3.80/4.00 · Honors: Zhejiang Provincial Scholarship (Top 3%, 2×)

Research

• Trimanual Manipulation · University of Wisconsin-Madison (Aug. 2026 – Present)
  Advisor: Prof. Mike Hagenow, Robot Teaching and Teaming (RT²) Lab
  
  • Learning from demonstration for trimanual human-robot team manipulation.
  • Wired a unified emergency-stop interlock tying all three arms to a single safety circuit.
• Vision-Language-Action and World Action Models · University of Maryland (Nov. 2025 – Aug. 2026)
  Advisor: Prof. Ang Li, CASE Lab
  
  • Developed a multi-layer shared projector bridging 2D and 3D representations in VLA models (NeurIPS 2026).
  • Developed XGenAct, a geometry-enhanced world action model (under review).
  • Deployed and evaluated both systems on real-world manipulation with a UFACTORY xArm.
• Student Modeling for Question Generation · University of Notre Dame (Jul. 2024 – Jan. 2025)
  Advisor: Prof. Meng Jiang, DM² Lab
  
  • Developed a student modeling approach for question generation (ACL 2025).
• Situated Language Use and Convention Formation · University of California, Berkeley (Feb. 2024 – Jun. 2024)
  Advisor: Prof. Alane Suhr, Berkeley Artificial Intelligence Research
  
  • Analyzed ad-hoc convention formation in a large 3D-environment dialogue corpus.

Publications

• XGenAct: Geometry-Enhanced World Action Models through Cross-Task Generation
  T. Du, Z. Wang, G. Sun, A. Li.
  arXiv preprint arXiv:2610.03516, 2026. DOI: 10.48550/arXiv.2610.03516
• ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models
  G. Sun, T. Du, K. Feng, C. Luo, X. Ding, Z. Shen, Z. Wang, Y. He, A. Li.
  Advances in Neural Information Processing Systems (NeurIPS), 2026. DOI: 10.48550/arXiv.2602.17951
• Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines
  Z. Wang, B. Wang, H. Zhang, T. Du, T. Chen, G. Sun, Y. He, Z. Shen, W. Ye, A. Li.
  Transactions on Machine Learning Research (TMLR), 2026. DOI: 10.48550/arXiv.2604.23001
• Agent KB: A Hierarchical Memory Framework for Cross-Domain Agentic Problem Solving
  X. Tang, T. Qin, T. Peng, Z. Zhou, D. Shao, T. Du, X. Wei, H. Zhu, G. Zhang, et al.
  ICML 2025 Workshop on Collaborative and Federated Agentic Workflows.
• QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
  B. Nguyen, T. Du, M. Yu, L. Angrave, M. Jiang.
  Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
• Characterizing Language Use in a Collaborative Situated Game
  N. Tomlin, N. Zhou, E. Fleisig, L. Chen, T. Wright, L. Vinh, L.X. Ma, S. Eisape, T. Du, T. Zhang, A. Koller, A. Suhr.
  arXiv preprint arXiv:2512.03381, 2025. DOI: 10.48550/arXiv.2512.03381

Skills

• Robotics: ROS 2, UFACTORY xArm, multi-arm workcell bring-up and safety integration, Onshape CAD, 3D printing
• Machine Learning: PyTorch, Hugging Face Transformers, vLLM, PEFT/LoRA, RLBench
• Languages & Infrastructure: Python, C/C++, Java, Julia, R, JavaScript/TypeScript, SQL, Assembly, LaTeX; Linux, Docker, AWS