Qian Meng

Cornell University

Papers

1

Total Citations

3

H-Index

1

About

Qian Meng is a pioneering researcher in robotics and formal methods, with a focus on enabling autonomous systems to operate reliably under uncertainty. Their key research areas include robot task planning, high-level specification synthesis, and automated failure recovery. Meng’s most notable contribution is a framework that allows robots to autonomously recover from assumption violations of high-level specifications during task execution—a critical advancement over prior methods that required human intervention to impose new assumptions for failure recovery. This work, published in 2024, has already garnered early citations, signaling its growing influence in the robotics community. By bridging the gap between formal verification and practical autonomy, Meng’s research enhances the resilience of robots in dynamic, real-world environments. Their approach promises to reduce the need for manual oversight in complex tasks, making autonomous systems more robust and scalable. With a trajectory focused on integrating logical rigor with adaptive behavior, Qian Meng is shaping the future of dependable robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Automated Robot Recovery from Assumption Violations of High-Level Specifications
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Cornell University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago