Arthur Schang

Parsons (United States), United States Army Combat Capabilities Development Command

Papers

Total Citations

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About

Arthur Schang is a robotics researcher whose work focuses on resilient, distributed multi-robot systems for real-world deployment. His primary research areas include multi-robot Simultaneous Localization and Mapping (SLAM), cooperative exploration under communications constraints, and robust autonomy for field robotics. Schang’s most significant contribution is his work on Kimera-Multi, a distributed visual SLAM system designed to operate reliably in large-scale, unstructured environments. His 2023 paper on this topic (30 citations) details key improvements that enhance system resilience, including handling communication dropouts and scaling to larger robot teams—critical steps toward practical deployment in disaster response and surveillance. Additionally, his 2021 work on bid prediction for multi-robot exploration (5 citations) addresses the challenge of coordinating robot teams when communications are disrupted, proposing a method to maintain efficient exploration even in degraded network conditions. Through these contributions, Schang is advancing the frontier of cooperative autonomy, helping to make teams of robots more capable and dependable in the high-stakes, unpredictable scenarios where they are most needed.