Papers

4

Total Citations

31

H-Index

3

About

Yahui Liu is a leading researcher in robotic computing, with a primary focus on sensor synchronization and autonomous systems. His most impactful contribution is the development of a general and efficient system for precise sensor synchronization in robotic computing, as detailed in his 2021 paper "The Matter of Time," which has garnered 22 citations. This work addresses a critical challenge in autonomous driving and advanced robotics, where accurate timing across multiple sensors is essential for reliable perception and control. Liu's research also spans distributed robotic control architectures, exemplified by his early work on CAN bus-based robot platforms, which laid the groundwork for modular, flexible system designs. More recently, he has advanced multi-modal perception with a 2024 study on RGB-D image fusion for robotic arm grasping pose detection, tackling real-world issues of precision in complex environments. With a career trajectory from foundational hardware integration to cutting-edge synchronization algorithms, Liu's work directly enables safer and more capable autonomous systems, making him a key figure in the evolution of robotic computing.

Research Focus

Key Achievements

3
H-Index
4
Papers
31
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Brief Industry Paper: The Matter of Time — A General and Efficient System for Precise Sensor Synchronization in Robotic Computing
22 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Tsinghua University, Chongqing University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago