Yanye Hao

Xi'an Aeronautical University, Beijing Institute of Technology

Papers

Total Citations

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About

Yanye Hao is a researcher in robotics and control systems, with a primary focus on model predictive control (MPC) for autonomous navigation. Her work addresses critical challenges in nonholonomic robot motion planning, particularly in dynamic and uncertain environments. Hao’s most cited paper, “Distributed robust MPC for nonholonomic robots with obstacle and collision avoidance” (2022, 16 citations), introduces a distributed framework that enables multiple robots to navigate safely while avoiding obstacles and each other, even under additive disturbances. Her earlier work, “Robust MPC for Nonholonomic Robots with Moving Obstacle Avoidance” (2020), develops a control algorithm that uses polyhedral over-approximations to reformulate moving obstacle constraints, ensuring robust performance in real-time scenarios. These contributions have practical implications for autonomous vehicles, warehouse robotics, and search-and-rescue operations. Hao’s research is notable for bridging theoretical robustness guarantees with practical implementation, making her a rising figure in the field of safe and reliable robot navigation.