Prof. Nikolay Petrov
ITMO University, Russia, Harbin Institute of Technology, China

 

Speech Title: TBA  
Abstract: TBA

Bio: Nikolay Petrov graduated from Saint-Petersburg State University in (2007) and got a Ph.D. degree in optics from the ITMO University, St. Petersburg, Russia. Since 2016 he established a digital and display holography laboratory and in 2019 he gained a doctorate (Dr. habil.) degree in optics and became OSA Senior Member. His research interests are currently focused on imaging, ultrafast optics, and terahertz technologies. Dr. Petrov was the recipient of the Russian Federation Government Prize in Education and other prizes, such as Yu. I. Ostrovsky Prizes; St. Petersburg Government Prizes, and Yu.N. Denisyuk medal. He has co-authored more than 170 publications.

 

Prof. Yibin Tian
Shenzhen University, China

Speech Title: Towards Intelligent Monitoring and Inspection of Large-Scale Factories: A Ground–Air Collaborative Multi-Agent System with Multi-Modal Perception and Robotic Manipulation  
Abstract: Modern industrial facilities require autonomous inspection systems capable of operating reliably in complex, large-scale, and potentially hazardous environments. We present a ground–air collaborative multi-agent, multi-modal factory inspection and monitoring system that integrates unmanned aerial vehicles (UAVs) with heterogeneous ground mobile robots, including a 4-leg–wheeled hybrid AGV and an onboard 6-axis robotic arm, to achieve intelligent factory inspection.

The proposed system exploits the complementary strengths of aerial and ground platforms. UAVs provide rapid, wide-area coverage and access to elevated spaces, while the 4-leg–wheeled AGV combines wheeled efficiency with legged mobility to traverse uneven terrain, stairs, and obstacles. The integrated 6-axis robotic arm enables close-range inspection, precise sensor positioning, contact-based measurements, and manipulation tasks such as valve checking and probe deployment. To support robust perception, the system fuses multi-modal sensing, including RGB, thermal and 3D vision, temperature and tactile sensing, as well as radiation detection, enabling reliable detection of structural defects, thermal anomalies, radiation leakage, and equipment degradation under challenging conditions.

A hierarchical perception and data-fusion framework is developed to achieve spatiotemporal alignment and semantic understanding across modalities and platforms. Cooperative task allocation and motion planning strategies coordinate heterogeneous agents, allowing dynamic role assignment, redundancy-aware sensing, and adaptive re-tasking in response to detected anomalies. Shared semantic maps and inter-agent communication facilitate consistent situational awareness and precise fault localization.

Bio: Yibin Tian is a Professor at Shenzhen University. He received his PhD from the University of California, Berkeley. His research activities focus on computational imaging, multimodal intelligent sensors, multimodal perception and sensor fusion, machine learning, and intelligent robotics. He has led or undertaken major projects funded by the National Natural Science Foundation of China, and the Department of Science and Technology of Guangdong Province. He has 11 years of cutting-edging technology R&D and management experience in Silicon Valley, and has served as a Senior Scientist, Principal Engineer and Chief Engineer at leading and pioneering companies in the optoelectronic sensing and imaging industry. Products he developed have been deployed by more than 20 Fortune 500 companies, including Apple, Microsoft, Intel, TSMC, Samsung, and Huawei etc. He has published over 50 academic papers, holds more than 40 granted U.S. and Chinese patents. He has managed more than 10 multinational interdisciplinary projects in optoelectronic imaging and sensing with successful commercialization, overseeing cumulative R&D funding exceeding RMB 100 million.