Calvin Cheung

Papers

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About

Calvin Cheung’s research focuses on the intersection of autonomous ground vehicle (AGV) safety, model-based systems engineering (MBSE), and resilient multi-agent coordination. His most cited work, “Jam Mitigation for Autonomous Convoys via Behavior-Based Robotics” (2022, 9 citations), addresses a critical vulnerability in leader-follower convoys: wireless denial-of-service jamming. By proposing a behavior-based architecture that enables vehicles to maintain formation and complete missions even under communication attack, Cheung provides a practical, decentralized solution for military and civilian convoys. This work demonstrates his ability to bridge robotics control theory with real-world security threats. In his 2023 paper on “Application of the Autonomous Ground Vehicle Reference Architecture to MBSE” (2 citations), Cheung advances Modular Open Systems Approach (MOSA) principles by integrating AGV reference models into formal systems engineering frameworks, enabling more modular, reusable, and verifiable autonomous system designs. His contributions are particularly notable for their dual emphasis on operational resilience and engineering rigor—ensuring that autonomous vehicles are not only intelligent but also robust against adversarial interference. Cheung’s work is essential reading for researchers in autonomous robotics, cyber-physical security, and systems engineering.