Soonhoi Ha
Papers
7
Total Citations
153
H-Index
5
About
Soonhoi Ha is a leading researcher in cyber-physical systems, low-power computer vision, and swarm robotics. His work addresses critical challenges in deploying intelligent, energy-efficient autonomous systems. Notably, his highly cited 2019 paper "Low-Power Computer Vision: Status, Challenges, and Opportunities" (76 citations) surveys the landscape of bringing computer vision to mobile and embedded platforms with limited energy budgets—a cornerstone for modern autonomous systems. Ha has pioneered software frameworks for cooperating robots, including SeMo (2018) and a high-level mission specification framework (2020), which enable non-experts to program complex multi-robot collaborations. His research on loosely coupled networked cyber-physical systems (2010, 35 citations) laid foundational architecture for systems that must balance autonomous operation with coordination across heterogeneous nodes. Most recently, his 2024 work on task allocation for resource-constrained swarm robots introduces novel methods robust to failures while respecting communication and deadline constraints. With over 150 total citations across these key works, Ha's contributions are shaping how we design, program, and deploy the next generation of collaborative, energy-aware robotic systems—from mobile phones to autonomous swarms.
Research Focus
Key Achievements
Top Papers
- 1Low-Power Computer Vision: Status, Challenges, and Opportunities76 citations · 2019
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- 4Optimization of Task Allocation for Resource-Constrained Swarm Robots13 citations · 2024
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- 6Low-Power Computer Vision: Status, Challenges, Opportunities5 citations · 2019
- 7A Survey of High-Level Programming Languages for Operating Swarm Robots2 citations · 2022