Qiyuan Zhang

About

Qiyuan Zhang is a leading researcher in intelligent control systems, with a primary focus on space robotics and reinforcement learning. His most influential work, "Control of Free-Floating Space Robots to Capture Targets Using Soft Q-Learning," has garnered 23 citations and introduces a groundbreaking model-free control method for free-floating space robots. By leveraging the soft Q-learning (SQL) algorithm, Zhang’s approach enables robots to efficiently learn target-capturing policies without requiring prior knowledge of the system’s dynamic models—a critical advancement for autonomous operations in unpredictable space environments. This work addresses a fundamental challenge in space robotics: the need for adaptive, robust control in the absence of fixed base constraints. Zhang’s contributions are particularly notable for bridging the gap between reinforcement learning and practical aerospace applications, offering a stochastic, energy-based policy framework that enhances both safety and efficiency. His research holds significant promise for future debris removal, satellite servicing, and on-orbit assembly missions, marking him as a key innovator in the intersection of machine learning and space engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   Control of Free-Floating Space Robots to Capture Targets Using Soft Q-Learning

   23 citations · 2018

Key Collaborators

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