Yewteck Tan

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About

Yewteck Tan is a researcher at the forefront of autonomous systems, with a primary focus on risk-aware navigation for military and off-road environments. His work addresses a critical challenge: enabling autonomous vehicles to operate with the same speed and resilience as human teammates on the battlefield. Tan’s major contribution lies in developing frameworks that allow robots to assess and manage multiple forms of risk—from uncertain terrain to dynamic environmental hazards—in real time. His most-cited paper, "Risk-aware autonomous navigation" (2021), has garnered 4 citations and lays the groundwork for robust decision-making under uncertainty. This research is pivotal for advancing the operational tempo of unmanned ground vehicles in complex, contested settings. Tan’s achievements include integrating risk assessment directly into navigation pipelines, a step toward field-ready autonomy that can adapt to unpredictable conditions. For students and researchers, his work offers a compelling intersection of robotics, control theory, and tactical operations, highlighting how principled risk management can bridge the gap between simulation and real-world deployment.