معرفی
Stephen Smith is a Research Professor at the Robotics Institute, Carnegie Mellon University. He directs the Intelligent Coordination and Logistics Laboratory and holds affiliations with Traffic21, Metro21, and the TSET University Transportation Center. His research focuses on AI-driven solutions for planning, scheduling, and coordination in complex systems, including transportation infrastructure, robotics, and manufacturing.
Research interests include constraint-based optimization, multi-agent coordination (e.g., robot teams), robust planning under uncertainty, and adaptive traffic control systems like Surtrac. Applications span smart cities, autonomous vehicles, and distributed resource management. He collaborates with municipal partners on projects such as pedestrian safety apps and snowplow route optimization.
His work bridges theoretical advances with real-world deployment, emphasizing scalability and practicality. Notable contributions include decentralized traffic control systems, learning-based planning assistants, and frameworks for distributed decision-making in uncertain environments.
Current and former advisees include PhD students Hsu-kuang Chiu and Jayanth Krishna Mogali, alongside master’s students like Viraj Parimi. Projects include the PedPal smartphone app and the RADAR cognitive assistant.
