Research Progress
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01/09 -2026-SIA Researchers Make Progress in Nonlinear Vibration Control of Spatial Composite Thin-Walled StructuresRecently, a research team from the Center for Space Automation Technology and Systems at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), has made progress in the nonlinear vibration analysis and active vibration control of carbon fiber reinforced composite cantilever laminated plates.
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12/05 -2025-SIA Researchers Make Progress in Intelligent Health Management of Rotating MachineryAddressing this challenge, a research team from the Intelligent Inspection and Equipment Laboratory at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), has conducted a study proposing a unified health management framework for rotating machinery based on Large Language Models (LLMs).
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12/05 -2025-SIA Researchers Make Progress in Modular Flexible Lower Limb ExoskeletonsRecently, a research team from the Robotics Laboratory at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), has developed a modular soft lower-limb exoskeleton robot.
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11/13 -2025-SIA Researchers Make Progress in Industrial Wireless Security ResearchRecently, a research team led by Researcher Wei Liang from the Industrial Control Network and System Research Department of the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), has developed an integrated cyber-control-physical cross-domain collaborative security architecture for wireless industrial control systems.
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10/30 -2025-SIA Researchers Make Progress in Ultra-Precision Micro-Nano Manufacturing Method for Storage EncryptionRecently, a joint research team from the Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences (CAS), and City University of Hong Kong proposed an ultra-precision micro-nano manufacturing method for storage encryption, realizing enhanced steganography and multilevel information storage.
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09/23 -2025-SIA Researchers Achieve Progress in Lower-Limb Exoskeleton Interaction EvaluationRecently, a research team from the Robotics Laboratory at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), proposed an “assistive normality” evaluation method to systematically characterize the human-robot coupling features of exoskeletons in their nominal state.
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09/10 -2025-SIA Researchers Make Progress in Bistable Property of Large Deployable Ratio Coilable MastsA research team from the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences(CAS), hasapplied the geometric and mechanical principles of the Kresling origami structure to model coilable masts. This novel approach has clearly revealed the energy evolution path and bistable behavior of the mast throughout the complete folding process, elucidating its complex deformation mechanisms.
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09/10 -2025-SIA Researchers Make Progress in Swarm Robotics ResearchResearchers in the Micro-Nano Robotics Group at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), have conducted swarm robotics experiments to validate the "Differential Adhesion Hypothesis" in embryonic development, providing a new means of understanding morphogenesis and collective intelligent behaviors in early development.
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09/05 -2025-SIA Researchers Achieve Progress in Brain-Inspired Navigation ResearchA research team from the Robotics Laboratory at the Shenyang Institute of Automation(SIA), Chinese Academy of Sciences(CAS), has proposed a real-time collaborative mapping system to fuselocal experience maps into the global map. The team introduced an effective overlapping region detection based on sequencematching is designed to realize data association between local experience maps.
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08/13 -2025-SIA Researchers Make Progress in Lifelong Person Re-Identification Across Scenes ResearchRecently, a research team from the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), proposed a Diverse Representations Embedding (DRE) framework, which effectively enhances a model's anti-forgetting capability and adaptive learning performance.
