Papers
9
Total Citations
251
H-Index
7
About
Sangwoo Moon is a pioneering roboticist whose work bridges autonomous navigation, neural network design, and multi-agent systems. His research focuses on three key areas: path planning for non-holonomic robots, communication-aware information gathering, and AI-driven mission operations. Moon’s most influential contribution is the Spline-Based RRT Path Planner (2013, 100 citations), which introduced a novel approach to smooth trajectory generation for robots with kinematic constraints, enabling more efficient and collision-free navigation in complex environments. His earlier work on Block-Based Neural Networks (2001, 93 citations) remains a cornerstone in evolutionary computation, presenting a 2D array of adaptable blocks optimized via genetic algorithms—a model that has inspired subsequent research in adaptive control and pattern recognition. More recently, Moon has advanced the field of distributed robotics with his mutual information-based communication-aware path planning (2016, 9 citations), which integrates sensing and communication constraints for cooperative information gathering. His 2024 analog experiments in Martian lava caves (18 citations) demonstrate practical applications for planetary exploration, while the 2025 ROSA system (11 citations) introduces an AI agent that democratizes robot operation for non-experts. Moon’s work consistently combines theoretical rigor with real-world deployment, earning him recognition as a leader in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Spline-Based RRT Path Planner for Non-Holonomic Robots100 citations · 2013
- 2Block-based neural networks93 citations · 2001
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- 7Fast and Scalable Signal Inference for Active Robotic Source Seeking7 citations · 2023
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