Yisong Qiao

Papers

2

Total Citations

26

H-Index

2

About

Yisong Qiao is a leading researcher in robotic computing, with a primary focus on solving the critical challenge of precise sensor synchronization. His major contribution is the development of a general and efficient synchronization system, detailed in his highly cited work, "The Matter of Time — A General and Efficient System for Precise Sensor Synchronization in Robotic Computing." This system addresses the fundamental problem of aligning data from multiple sensors—a task essential for the reliability of autonomous driving and other advanced robotic applications. With over 26 combined citations, his research has significantly impacted the field by providing a practical, scalable solution to a notoriously difficult timing issue. Qiao’s work not only highlights the evolution of synchronization techniques as robotic systems grow more complex but also establishes a foundational framework that enables safer and more accurate autonomous operations. His achievements underscore a deep understanding of both the theoretical and practical aspects of robotic computing, making his contributions invaluable for students and researchers working on real-time systems and autonomous technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
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: 8

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago