Lingzhi Luo

Carnegie Mellon University

Papers

10

Total Citations

394

H-Index

8

About

Lingzhi Luo is a robotics and multi-robot systems researcher whose work centers on distributed algorithms for task assignment, combinatorial optimization, and autonomous coordination in multi-robot environments. Over the course of a decade-long research trajectory, Luo has made substantial contributions to solving some of the most challenging algorithmic problems in robotics: how to efficiently assign tasks to fleets of robots operating under real-world constraints such as battery life, deadlines, precedence dependencies, and heterogeneous capabilities. Luo's most influential work, "Distributed Algorithms for Multirobot Task Assignment With Task Deadline Constraints" (2015, 121 citations), established provably-good distributed solutions for time-critical scenarios where robots must complete missions within strict deadlines. Complementary papers on grouped tasks and generalized assignment problems (collectively amassing over 170 additional citations) further demonstrated Luo's ability to extend classical operations research frameworks into practical robotic contexts. Notable work also explores human-swarm interaction, specifically modeling "Neglect Benevolence" in human control of robotic swarms, and coordinate frame alignment for collaborative multi-robot systems. Together, these contributions reflect a researcher who bridges theoretical rigor with applied robotics, offering scalable, mathematically grounded algorithms that have meaningfully shaped how autonomous multi-robot systems are designed and deployed.

Research Focus

Key Achievements

8
H-Index
10
Papers
394
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Distributed Algorithms for Multirobot Task Assignment With Task Deadline Constraints
121 citations · 2015
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago