RIAS — Key Laboratory of Real-virtual Integrated Autonomous Systems（RIAS）

Hebei Provincial Key Laboratory · Discipline Category

RIAS

Key Laboratory of Real-virtual Integrated Autonomous Systems（RIAS）

Serving the low-altitude economy and intelligent unmanned systems through real-virtual mapping, swarm collaborative perception, multi-agent decision and optimization, real-virtual multi-agent cloud-brain platforms and testbeds, and cross-domain deployment—from fundamentals to field demonstration.

Research Join Us

Approved

2026.07.20

Host

RUC Xiong'an Institute for Future Intelligent Manufacturing

News

Laboratory milestones and selected research highlights.

2026.07.27

Academic Committee Members Mo Li and Zhen Shen Visit to Discuss Laboratory Development

2026.07.27Academic Committee Members Mo Li and Zhen Shen Visit to Discuss Laboratory Development
2026.07.20RIAS Key Laboratory Approved
2026.06.30ECCV 2026 +1, Congratulations to Kang Yang
2026.05.01ICML 2026 +1, Congratulations to Guoxin Lian
2026.02.21CVPR 2026 +2, Congratulations to Peng Wang and Shuo Wang

All news →

About the Laboratory

About

A discipline-category provincial key laboratory in Information, serving electronic information, advanced manufacturing, and the low-altitude economy.

The Key Laboratory of Real-virtual Integrated Autonomous Systems（RIAS） is hosted by the RUC Xiong'an Institute for Future Intelligent Manufacturing, and directed by Prof. Yongcai Wang. Anchored in Xiong'an and linked with Beijing campuses, the lab addresses national priorities in AI, future industries, and intelligent unmanned systems, spanning agent systems, visual spatial computing, collaborative perception, and swarm decision-making along a sensing–cognition–decision–action pipeline. With partners from Renmin University of China and peer institutions, the lab is guided by a high-level academic committee.

Research Directions

Five Directions

Five mutually reinforcing thrusts spanning real-virtual mapping, collaborative perception, multi-agent decision-making, cloud-brain platforms and testbeds, and cross-domain deployment.

01

Scene Reconstruction & Mapping

Photorealistic indoor/outdoor reconstruction via 3D Gaussian Splatting, fusing geometry, physics, semantics, and texture for cross-domain real-virtual mapping and 4D dynamic virtual training fields.
02

Swarm Collaborative Perception

Distributed feature extraction, lightweight models, and low-overhead exchange for multi-agent detection, tracking, localization, and situational awareness under weak communication and compute.
03

Multi-agent Decision & Optimization

Distributed decision-making, task allocation, path planning, and collaborative optimization for heterogeneous unmanned systems in complex, high-interference environments.
04

Real-virtual Multi-agent Cloud-Brain Platform & Testbed

A real-virtual integrated multi-agent cloud-brain platform and test system spanning sensing aggregation, collaborative assessment, decision scheduling, and closed-loop evaluation—for algorithm validation, system integration, and scenario rehearsal.
05

Cross-domain Deployment

Ground–air, sea–air, and land–sea–air collaboration for public security, facility inspection, emergency rescue, and industrial logistics—from algorithms to field pilots.

Academic Committee

Advised by a CAS Academician and leading experts in intelligent unmanned systems.

Academic Advisor

Xiaohong Guan

CAS Academician / Xi'an Jiaotong & Tsinghua

Systems engineer, IEEE Fellow. Dean of Electronic and Information Engineering at XJTU; Chief Scientist of the MoE Key Lab of Intelligent Networks and Network Security.

Chair & Members

Chair

Qianchuan Zhao

Professor, Tsinghua; NSFC Distinguished Young Scholar

Director of CFINS. Research on performance optimization and security control of networked dynamic systems.

Member

Qing-Shan Jia

Professor, Tsinghua; NSFC Distinguished Young Scholar

Vice Dean for Teaching, Tsinghua GIX. Optimization theory for networked cyber-physical energy systems.

Member

Guangming Xie

Professor, Peking University

Intelligent biomimetic robots and swarm collaboration. National Natural Science Award (Second Prize).

Member

Mo Li

Professor, HKUST; IEEE Fellow

Director of HKUST Low Altitude Economy Research Center. Wireless sensing, IoT, and low-altitude systems. ACM SIGMOBILE Chair.

Member

Yunpeng Chai

Professor, RUC; Dean, School of Information

Intelligent computing systems, databases, storage, and cloud computing.

Member

Chaobo Yan

Professor, Xi'an Jiaotong University

Vice Dean. Cyber-physical manufacturing systems and intelligent logistics scheduling.

Member

Zhen Shen

Professor, CASIA

Intelligent control and complex systems. Extensive patents and awards in automation.

Member

Yang Bai

Senior Principal Engineer, CETC

Large-scale UAV swarm control and unmanned systems engineering.

Member

Yongcai Wang

Professor, RUC; Lab Director

Multi-agent systems, Spatial AI, collaborative perception, and multi-agent RL. 120+ papers.

Research Team

Lab director, full-time faculty, and research staff advancing real-virtual integrated autonomous systems.

Lab Director

Director

Yongcai Wang

Professor, Renmin University of China; Deputy Chair, Department of Computer Science

Core faculty of the RUC Xiong'an Institute for Future Intelligent Manufacturing. Research spans multi-agent collaborative perception, visual SLAM, Spatial AI, and unmanned-system detection, with 120+ papers (70+ CCF A/B).

Homepage Students ycw@ruc.edu.cn

Full-time Faculty

Professor

Deying Li

Professor, School of Information, Renmin University of China

Research interests include IoT, social networks, data networks, and graph optimization. 100+ papers; frequent INFOCOM publications; PI of multiple NSFC projects.

deyingli@ruc.edu.cn

Associate Professor

Jinlong E

Associate Professor, School of Information, Renmin University of China

Research interests include cloud–edge collaborative computing, distributed multi-cloud storage, mobile streaming, and intelligent data analytics. Publications in TON, TPDS, INFOCOM, ICDE, and related venues.

ejinlong@ruc.edu.cn

Associate Professor

Chunlai Zhou

Associate Professor, School of Information, Renmin University of China

Research focuses on foundations of AI, especially privacy computing (differential privacy), uncertainty in deep learning, and probabilistic reasoning.

czhou@ruc.edu.cn

Lecturer

Wenping Chen

Lecturer, School of Information, Renmin University of China

Ph.D., Tsinghua University. Research interests include sensor networks and related applications.

Lab Engineer

Chen Wang

Lab Engineer, School of Information, Renmin University of China

Supports laboratory teaching, platform maintenance, and research infrastructure.

Management Committee

Oversees operations, resources, and academia–industry coordination.

Chair

Jian Shen

Research Fellow; Vice Dean, RUC Xiong'an Institute for Future Intelligent Manufacturing

Member

Yunpeng Chai

Professor; Dean, School of Information, Renmin University of China

Member

Wei Lu

Professor; Vice Dean, School of Information, Renmin University of China

Member

Wei Xu

Professor; Vice Dean, School of Information, Renmin University of China

Member

Pijing Bing

Director of General Office, RUC Xiong'an Institute

Member

Baisong Ren

Principal Senior Engineer; Director, Xiong'an National Innovation Center

Member

Yan Li

Tech Manager, Xiong'an National Innovation Center

Join Us / Contact

Join Us

We welcome research undergraduates, M.S., professional master's, direct Ph.D., Ph.D., and Eng.D. candidates interested in real-virtual reconstruction, swarm collaborative perception, multi-agent decision-making, cloud-brain platforms and testbeds, and cross-domain unmanned systems.

Strong learning ability, solid English, programming skills, and self-motivation are expected; prior publications or competition awards are a plus.

Email: ycw@ruc.edu.cn

Address: Room 620, Xiong'an High-tech Zone Service Center, Xiong'an Area, China (Hebei) Pilot Free Trade Zone

Email Us Homepage