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Mark Chang is a pioneering researcher in distributed multi-robot systems, with a particular focus on low-cost, autonomous robot teams and cooperative planning. His most influential work centers on the development of the ViperRoos, a team of three autonomous local vision robots designed for RoboCup's Small Size League, demonstrating that effective robot soccer could be achieved with on-board intelligence and affordable hardware. Chang's major contributions include the creation of the Distributed Multi-Agent Planning System (DMAPS), which advanced team coordination by enabling robots to share a global world model for action selection. He also pioneered decoupled probabilistic world modeling, allowing team members to maintain a shared understanding of their environment for more effective distributed planning. While his citation counts (peaking at 4 for the foundational ViperRoos paper) reflect a focused, early-career impact, his work laid crucial groundwork for accessible multi-robot systems. Chang's research remains notable for its emphasis on practical, low-cost implementations that made autonomous robotics more accessible, and his team's repeated participation in RoboCup (2000-2001) highlighted the viability of on-board vision in competitive settings.