About

Zhitian Li is a pioneering robotics researcher whose work spans the kinematic design of parallel manipulators and the cutting-edge frontiers of multi-robot cooperative localization. Li’s early foundational contribution, the 2004 paper on optimal kinematic design of 2-DOF parallel manipulators (127 citations), established a hybrid method for achieving well-shaped workspaces bounded by conditioning indices—a cornerstone for precision robotics. More recently, Li has driven transformative advances in multi-robot systems, developing UWB-VIO fusion frameworks (39 and 29 citations) that enable drift-free relative pose estimation in GNSS-denied environments, and range-aided cooperative localization algorithms for ground robots (9 citations). Li’s work also pushes the boundaries of embodied AI, with the COME-robot system (10 citations) integrating GPT-4V for closed-loop open-vocabulary mobile manipulation, and the M² Diffuser (9 citations) applying diffusion models to trajectory optimization. These contributions, totaling over 245 citations, demonstrate Li’s unique ability to bridge classical mechanism design with modern sensor fusion and vision-language reasoning, making them a leading figure in advancing autonomous robot teams and intelligent manipulation.

Research Focus

Key Achievements

7
H-Index
12
Papers
249
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Kinematic Design of 2-DOF Parallel Manipulators With Well-Shaped Workspace Bounded by a Specified Conditioning Index
127 citations · 2004
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: Tianjin University, State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Beijing Institute for General Artificial Intelligence, Beihang University, Shenyang Institute of Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago