Sang-Hyeon Bae
Papers
15
Total Citations
184
H-Index
6
About
Sang-Hyeon Bae is a leading researcher in autonomous robotics, specializing in semantic knowledge representation, cognitive navigation, and edge-deployed AI for robotic systems. His foundational work, "Ontology-Based Knowledge Representation in Robotic Systems" (54 citations), has been pivotal in enabling robots to process semantic knowledge for efficient task assistance in domestic, hospital, and industrial settings. Bae’s neuro-inspired cognitive navigation framework (41 citations) addresses the longstanding challenge of robotic environment modeling and planning, while his research on 3D recognition sensor modalities (12 citations) empowers robots for tracking, environmental understanding, and human-robot interaction. Notably, his edge deployment framework for GuardBot (24 citations) achieved optimized real-time face mask recognition, demonstrating practical AI applications on resource-constrained devices. Bae has also advanced multi-floor navigation using visual elevator feature detection (10 citations) and developed a flexible semantic ontological model for navigation in large dynamic environments (10 citations). His recent work on hierarchical planning for multi-robot systems (5 citations) and vision-based human following robots (6 citations) continues to push boundaries in collaborative robotics. With over 160 total citations, Bae’s contributions are shaping the future of intelligent, semantically-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 43D Recognition Based on Sensor Modalities for Robotic Systems: A Survey12 citations · 2021
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- 7Edge Deployment of Vision-Based Model for Human Following Robot6 citations · 2023
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