Yuanzhe Cui
Papers
6
Total Citations
65
H-Index
3
About
Yuanzhe Cui is a leading researcher in multi-robot systems and intelligent manipulation, with a focus on closed-chain control, deep reinforcement learning (DRL), and cooperative robotics. His most cited work, a 2024 study on a task-adaptive DRL framework for dual-arm robot manipulation (46 citations), addresses the complex challenge of closed-chain coordination, enabling flexible and adaptable control for cooperative tasks. Cui has also made significant contributions to multi-mobile manipulator systems, including coordinated control under closed-chain constraints and distributed position-force control for cooperative transportation, advancing the field's understanding of dynamic coupling between mobile platforms and robotic arms. His research extends to multi-robot SLAM through map fusion via image stitching, and to bio-inspired systems, where he models collective dynamics and visual interaction topologies for flapping-wing robot flocks. With a total of over 65 citations across his most-cited papers, Cui's work is foundational for developing robust, adaptive robotic teams capable of complex real-world manipulation and exploration.
Research Focus
Key Achievements
Top Papers
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- 3Map Fusion Method Based on Image Stitching for Multi-robot SLAM5 citations · 2021
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