Yanan Zhou seated beside a Zeno robot

Yanan Zhou 「周亚楠」

PhD student at the University of Sydney

I am a PhD student at the University of Sydney, supervised by Prof. Weiming Zhi. I completed my B.E. (Honours) in Electrical Engineering at the University of Sydney (2022–2026).

My research lies at the intersection of robot perception, manipulation, and multi-robot collaboration. I aim to develop robotic systems that operate reliably in unstructured real-world environments and continually improve through privacy-preserving learning across distributed platforms.

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Research

I study the loop from perception to action to learning: how robots understand a scene, act within it, and improve after deployment.

Research interests
Robot perception, robot manipulation, multi-robot collaboration, and trustworthy AI.
Research question
How can robots continually improve their perception, manipulation, and collaboration in the real world while remaining reliable and privacy-preserving?

News

Research Experience

Deformable-object & mobile manipulation
Zeno AI

Embodied AI research

Embodied AI Researcher

Working on bimanual manipulation of deformable objects and mobile manipulation for embodied robotic systems.

Publications

Research area 01

Robotics & Embodied Intelligence

CoRE: Learning Collaboration-Role Experts for Decentralized Collaborative Manipulation with One Policy

Yanan Zhou, Zhaoyan Qian, Zihao Li, Mingyuan Ba, Ranpeng Qiu, and Weiming Zhi

Preprint, 2026 · First author

Autonomous box assembly · 2× speed

Paper Project Page Code soon

StereoPatch: Patch-Aligned RGB-Depth Fusion for Spatial Perception in Robot Manipulation

Yanan Zhou, Zhaoyan Qian, James Zhao, and Weiming Zhi

arXiv, 2026 · First author

Bowl extraction demo · 4× speed

Paper Project Page
PATCHRobot manipulation

PATCH: Action-Chunk-Conditioned Latent Patch Innovation Monitoring for Robot Manipulation

Yanan Zhou, Ranpeng Qiu, Yincong Chen, Jiajie Cui, and Weiming Zhi

arXiv, 2026 · First author

Paper Project Page GitHub
SAIMulti-robot collaboration

Robots that Collaborate: Sequential Asymmetric Imitation for Learning Coupled Robot Policies

Yincong Chen, Ranpeng Qiu, Zihao Li, Yanan Zhou, Guoqiang Ren, and Weiming Zhi

arXiv, 2026

Paper Project Page GitHub soon
TriPilot-FFWhole-body teleoperation

TriPilot-FF: Coordinated Whole-Body Teleoperation with Force Feedback

Zihao Li, Yanan Zhou, Ranpeng Qiu, Hangyu Wu, Guoqiang Ren, and Weiming Zhi

arXiv, 2026

Paper Project Page soon GitHub soon
PoseCompass pipeline from candidate pose generation and ranking to synthetic rendering and pose-regressor fine-tuning

PoseCompass: Intelligent Synthetic Pose Selection for Visual Localization

Yanan Zhou, Zhaoyan Qian, Yanli Li, Nan Yang, Zhongliang Guo, and Dong Yuan

IEEE ICME, 2026 · First author

Paper Project Page soon GitHub soon

Research area 02

Trustworthy & Federated Learning

GuardFed framework for trust scoring and self-adaptive aggregation under dual-facet attacks

GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks

Yanli Li, Yanan Zhou, Zhongliang Guo, Nan Yang, Yuning Zhang, Huaming Chen, Dong Yuan, Weiping Ding, and Witold Pedrycz

arXiv, 2025

Paper Project Page soon GitHub soon
Privacy-protected federated learning architecture for non-IID healthcare institutions

Toward Better Privacy-Protected Federated Learning for Healthcare Services in Non-IID Scenarios

Yanli Li, Jifei Hu, Hang Zhang, Yanan Zhou, Nan Yang, Dong Yuan, and Weiping Ding

IEEE TETCI, 2026

Paper Project Page soon GitHub soon
FedSCOPE framework evaluating learning performance, fairness, reliability, robustness, and privacy preservation

FedSCOPE: A Comprehensive Evaluation Framework for Federated Learning in Human-Centered Social Computing

Yanli Li, Yuqi Li, Yanan Zhou, Yuning Zhang, Nan Yang, Dong Yuan, and Weiping Ding

IEEE TCSS, 2025

Paper Project Page soon GitHub soon

Contact

yananzhou1035@gmail.com