Research Progress
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03/20 -2026-New Method Equips Wireless Networked Control Systems with a "Smart Brain"Addressing the challenges posed by limited communication resources and highly dynamic environmental conditions in industrial scenarios, the research team led by Professor LIANG Wei from the Industrial Control Network and System Department, the Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences, has proposed a Joint Estimation-Control-Scheduling (JECS) method based on deep reinforcement learning.
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03/20 -2026-Researchers Propose MMGT for High-Precision Co-Speech Gesture Video Generation from Audio and ImageRecently, a research team from the Intelligent Detection and Equipment Department at the Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences, proposed an innovative method for high-quality co-speech gesture video generation. It opens new opportunities for AI-driven content generation in the metaverse and multimedia applications.
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03/19 -2026-Researchers Propose Intelligent Algorithm to Open New Pathways for High-Precision Control of Wireless Cloud Robotic SystemsRecently, a research team from Industrial Control Network and System Department, the Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences, proposed an innovative solution. By integrating Reconfigurable Intelligent Surface (RIS) with an advanced algorithm termed "multi-agent transfer reinforcement learning," they successfully achieved co-optimization of robotic control and wireless communication, offering new possibilities for overcoming this bottleneck. The relevant research findings have been published in the leading journal in the field, the IEEE/CAA Journal of Automatica Sinica.
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03/17 -2026-Researchers Developed a CAD-Mesher Module for Achieving Accurate Static Map ConstructionRecently, a research team from Robotics Laboratory, the Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences, proposed an innovative solution named CAD-Mesher. This module not only effectively filters out interference from dynamic objects to construct high-precision static mesh maps but can also be conveniently integrated into existing LiDAR systems like a "plug-in," providing new technical support for autonomous navigation of robots in complex dynamic environments.
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03/09 -2026-SIA Has Series of Research Papers Accepted by CVPR 2026Recently, a series of researchpapers from the Machine Intelligence Research Group at the Robotics Laboratory of the Shenyang Institute of Automation(SIA), Chinese Academy of Sciences(CAS), have been officially accepted by CVPR 2026, a premier international academic conference in the field of computer vision.
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03/05 -2026-SIA Researchers Make Progress in Human-Robot Collaborative Pre-Welding Positioning for Aero-Engine PipelinesRecently, a research team from the Manufacturing Equipmeng and Intelligent Robot Department at the Shenyang Institute of Automation(SIA) , Chinese Academy of Sciences(CAS) , has developed a pre-welding positioning system for aero-engine pipelines. This system enables flexible fixture setup for pipelines of varying dimensions.
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03/03 -2026-Researchers Develop Diatom Microrobots for Photodynamic Therapy of GlioblastomaRecently, a research team from the Laboratory of Robotics at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences(CAS), in collaboration with Shengjing Hospital of China Medical University, has developed a novel diatom-based microrobot for the treatment of brain glioma.
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03/04 -2026-SIA Makes Progress in Long-Term Industrial Time-Series Prediction ModelingThe research team from the Digital Factory Department at the Shenyang Institute of Automation(SIA), Chinese Academy of Sciences(CAS), has proposed a novel long-term industrial time-series forecasting method. This approach integrates a multifrequency decoupling network with dual-stage shift segmental modeling to tackle the difficulties in long-term prediction of key industrial parameters, optimizing aspects including data decomposition, dynamic modeling, and distribution adaptation.
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03/02 -2026-SIA Has Series of Research Papers on Embodied AI Navigation and Low-Rank Tensor Recovery Theory Accepted by Top International Conference ICLR 2026Recently, a series of research achievements on embodied intelligent navigation and low-tubal-rank tensor recovery theory by the Machine Intelligence Research Group of the Robotics Research Laboratory at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), has been formally accepted by the International Conference on Learning Representations (ICLR) 2026, a leading international academic conference in the field of artificial intelligence.
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02/03 -2026-SIA Develops Self-Sensing Soft-Rigid Coupled Gripper SystemRecently, a research team from the Robotics Laboratoty at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (SIA), has made new progress in the design and control of soft-rigid hybrid robots. They have proposed a soft-rigid coupled gripper system based on self-sensing Kresling origami actuators, offering a novel approach for designing multifunctional, highly integrated robotic systems.
