Boon Tee Tan

Papers

Total Citations

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About

Dr. Boon Tee Tan is a researcher in intelligent transportation systems and robotics, with a focus on dynamic planning and multi-agent coordination. His most cited work, "Opportunistic planning for a fleet of transportation robots" (2003), introduces a heuristic solution to the dynamic transportation planning problem using a blackboard-based architectural approach. This paper presents the Intelligent Transportation Planning System, built on the Generic Blackboard Shell (GBS), which integrates traffic simulation and vehicle locomotion models to enable real-time, adaptive fleet management. Though his citation count is modest, Tan’s contributions are notable for advancing opportunistic planning in robotics—a key area for autonomous logistics and smart manufacturing. His work demonstrates how blackboard architectures can facilitate decentralized decision-making among multiple robots, offering a scalable framework for dynamic environments. For students and researchers exploring multi-robot systems or intelligent transportation, Tan’s research provides foundational insights into balancing efficiency and adaptability in fleet operations.