Zhiyuan Zhang

Solomon R. Guggenheim Museum, Georgia Institute of Technology, ETH Zurich

Papers

Total Citations

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About

Zhiyuan Zhang is a researcher working at the intersection of autonomous systems, robotics, and control theory, with particular expertise in risk-aware planning and multi-agent decision-making. His most influential contribution, "Risk-Aware Model Predictive Path Integral Control Using Conditional Value-at-Risk" (2023, 26 citations), introduces RA-MPPI, a groundbreaking framework that integrates Conditional Value-at-Risk measures into Model Predictive Control to enable autonomous robots to reason intelligently under uncertainty — a critical challenge in real-world deployment. This work stands as a significant advancement in making autonomous systems not just capable, but genuinely safety-conscious. Beyond control theory, Zhang demonstrates a remarkable breadth of research interests. His work on the Soft Acoustic End-effector explores novel ultrasound-based manipulation techniques for microscale robotics, pushing boundaries in how acoustic tools can be made mobile and adaptive. Meanwhile, BuzzRacer showcases his interest in accessible experimental platforms, offering researchers a palm-sized testbed for studying adversarial multi-agent autonomous racing. Together, these contributions reflect a researcher who bridges rigorous theoretical frameworks with practical, hardware-grounded innovation — making him a noteworthy emerging voice in autonomous robotics and intelligent systems.