Papers

6

Total Citations

20

H-Index

3

About

Hanlin Wang is a robotics researcher whose work spans swarm robotics, autonomous systems, and agricultural automation. His primary contributions lie in developing scalable and verifiable control frameworks for robotic swarms, with a focus on formation control, shape generation, and distributed estimation. Wang’s most cited paper (7 citations) introduces an automated control synthesis method that translates high-level formation and location-based specifications into correct-by-construction swarm behaviors, bridging the gap between abstract task descriptions and real-world robot coordination. He has also advanced swarm scalability through a probabilistic algorithm for counting swarm size (3 citations), enabling robust estimation even as robots are added or removed. In hardware design, Wang contributed a novel autonomous mobile robot with externally driven actuation (3 citations), reducing cost and complexity for large swarms. More recently, his work on a deployable robotic gripper with an arc-shaped scissor mechanism (2 citations) and an optimized stereo matching algorithm for precise tomato localization (1 citation) demonstrates his versatility in applying robotics to agriculture. Wang’s research is characterized by a commitment to practical, provably correct solutions that push the boundaries of swarm intelligence and autonomous manipulation.

Research Focus

Key Achievements

3
H-Index
6
Papers
20
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Control Synthesis for Swarm Robots from Formation and Location-based High-level Specifications
7 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Northwestern University, Shantou University, Beijing University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago