About

Wang Yi is a researcher whose work sits at the intersection of real-time systems, robotic software frameworks, and autonomous robotics. He has established himself as a leading authority on timing analysis and scheduling within the Robot Operating System (ROS 2), addressing one of the most pressing challenges in safety-critical robotics: guaranteeing that hard real-time constraints are formally satisfied. His most influential contribution, "Response Time Analysis and Priority Assignment of Processing Chains on ROS2 Executors" (2020, 71 citations), laid foundational groundwork for modeling timing behaviors in ROS 2 executors, a problem of direct industrial relevance as robotics increasingly enters safety-critical domains. This line of inquiry has been consistently extended through subsequent work on multi-threaded executors, inter-process communication delays, and the resource-constrained micro-ROS environment, collectively accumulating over 200 citations. Beyond scheduling theory, Wang Yi has explored energy-optimized path planning for mobile robots and, more recently, multimodal human-robot interaction through audio-visual grounding of referring expressions. His development of RTeX, a timing-predictable multithreaded executor, demonstrates a commitment to translating theoretical analysis into practical system improvements. Taken together, his research meaningfully advances the reliability and intelligence of next-generation robotic systems.

Research Focus

Key Achievements

6
H-Index
11
Papers
208
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Response Time Analysis and Priority Assignment of Processing Chains on ROS2 Executors
71 citations · 2020
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Northeastern University, Hong Kong Polytechnic University, Nanjing University of Information Science and Technology, Uppsala University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago