Sanghoon Baek
Papers
8
Total Citations
320
H-Index
6
About
Sanghoon Baek is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on coverage path planning, simultaneous localization and mapping (SLAM), and low-cost sensor-based systems for service robotics. His most significant contributions lie in developing algorithms that enable mobile robots to efficiently and completely cover unknown environments — a critical challenge for real-world applications such as robotic vacuum cleaners. Baek's most cited work, "Smooth Coverage Path Planning and Control of Mobile Robots" (2011, 122 citations), and his complementary research on linked spiral path algorithms (2009, 102 citations) established innovative approaches to full-area coverage using high-resolution grid maps and constrained inverse distance transforms. These methods addressed longstanding limitations in robot mobility during grid-based coverage tasks. His broader research portfolio explores topological map generation from occupancy grids, sector-based coverage strategies, and integrated localization-mapping-coverage systems designed to operate with minimal, affordable sensing hardware — making intelligent robotics more practically deployable. Baek's consistent emphasis on bridging theoretical path planning with practical, resource-constrained implementations has made his work particularly valuable to researchers and engineers designing next-generation autonomous cleaning and service robots. His cumulative citation impact reflects sustained influence across the mobile robotics community.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8