Brandon Jin Yang Ong
Papers
1
Total Citations
41
H-Index
1
About
Brandon Jin Yang Ong is a robotics researcher whose work focuses on multi-robot systems, autonomous exploration, and motion planning in unknown or hazardous environments. His most impactful contribution, the paper “Multi-AGV’s Temporal Memory-Based RRT Exploration in Unknown Environment” (2022), has garnered 41 citations, reflecting its significance in advancing collaborative exploration strategies. In this work, Ong introduces a frontier-based Rapidly-Exploring Random Tree (RRT) approach enhanced with temporal memory, enabling multiple autonomous ground vehicles to efficiently and adaptively explore uncharted territories without prior maps. This innovation addresses critical challenges in disaster response, planetary exploration, and industrial automation, where robust multi-robot coordination is essential. By integrating memory into the RRT framework, his method reduces redundant exploration and improves overall mission efficiency. Ong’s research bridges theoretical algorithm design with practical deployment considerations, making him a notable contributor to the field of multi-agent systems. His work continues to inspire further developments in autonomous exploration and cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1Multi-AGV's Temporal Memory-Based RRT Exploration in Unknown Environment41 citations · 2022