Research Progress

• 08/28 -2026-
  Laser-Controlled Bubble Microrobots Break Free from 2D Interfaces for 3D Manipulation

  Recently, a research team from the Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences, proposed a method for multidimensional motion and manipulation of optothermal bubble microrobots based on remote laser control, providing an entirely new technological approach for three-dimensional microscale manipulation, microenvironment construction, and related scenarios.
• 08/28 -2026-
  New Hybrid Ontology Method Resolves Semantic Conflicts Across Manufacturing Systems

  As intelligent manufacturing evolves toward flexibility, networking, and digital twins, systems such as ERP, MES, PLM, and IIoT continuously generate multi-source heterogeneous data. Because these systems are built independently, the same manufacturing object may differ in naming, hierarchy, granularity, and logical constraints across systems, readily causing semantic fragmentation and structural conflicts that constrain cross-system interoperability and manufacturing collaboration. To address this issue, a research team from the IndustriaI Control Network and System Department of the Shenyang Institute of Automation(SIA), Chinese Academy of Sciences, has proposed a consistency-preserving hybrid ontology reconstruction method (HMOR).
• 08/19 -2026-
  Reseachers Develop a Wireless Light-Controlled Biosyncretic Manta Ray Robot with High Mobility

  Inspired by the swimming mechanism of manta rays, a research team from the Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences (CAS), has developed a wireless near infrared light-controlled biosyncretic manta ray robot powered by isolated bullfrog skeletal muscle. The work was published in the international journal Advanced Functional Materials on August 13.
• 07/29 -2026-
  Researchers Propose Shank-Angle-Driven Control Method for Exoskeleton to Assist Non‑Steady Locomotion

  Recently, a research team from the Robotics Laboratory at the Shenyang Institute of Automation (SIA) of Chinese Academy of Sciences, proposed an intelligent control method for lower-limb exoskeleton robots driven by the shank angle of the human leg. This approach enables the exoskeleton to continuously perceive the human motion state during non‑steady locomotion, achieving continuous matching and bionic coordination between human and robot motion.
• 07/29 -2026-
  Researchers Propose Frequency-Causal Mixture-of-Experts Network for High‑Precision Spinal CT Segmentation

  Automatic segmentation of spinal CT images is a foundational technique for intelligent orthopedic imaging diagnosis, preoperative surgical planning, and intraoperative navigation for spinal robotics. However, the human spine comprises tightly packed vertebral bodies with significant anatomical variations across different segments and complex local textures. To address this challenge, the research team from the Robotics Laboratory at the Shenyang Institute of Automation(SIA) of Chinese Academy of Sciences, proposed a Mixture-of-Experts network via Frequency‑Causal Reasoning (FC‑MoE), offering a novel technical solution for high‑precision automatic segmentation of complex spinal images.
• 07/27 -2026-
  Haidou-1 and Fendouzhe Complete Joint Hadal Scientific Expedition in the Western Pacific

  Supported by the National Key R&D Program project Enhancement of Key Operational Technologies and Scientific Application Capabilities of Haidou-1, the full-ocean-depth Autonomous and Remotely-operated Vehicle (ARV) Haidou-1, developed under the leadership of the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences, has recently completed its sea trial and scientific mission in the high seas of the Philippine Sea, Western Pacific, aboard the research vessel Tansuo-3, and safely returned to port.
• 07/21 -2026-
  New Dependency-Aware Method Enhances Information Freshness and Control in Industrial Systems

  To address this limitation, researchers from the Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences,developed a dependency-aware co-optimization method for sensing-transmission-computation-control (STCC) systems. The findings were published in IEEE Transactions on Mobile Computing.
• 07/15 -2026-
  Researchers Propose a Novel Algorithmic Framework for Large Model-Empowered Collaborative Optimization of Perception-Communication-Computation-Control

  ​Industrial Cyber-Physical Systems (ICPS) represent a quintessential deep coupling system integrating Sensing, Communication, Computation, and Control (S3C). They have long faced challenges such as high dimensionality, non-convexity, and partial observability. To address these challenges, the research team from Shenyang Institute of Automation(SIA) of Chinese Academy of Sciences, proposed a novel algorithmic framework: LLM-Enhanced Multi-Agent Transfer Reinforcement Learning (LLMPT-MADRL).
• 07/09 -2026-
  K2MUSE: Multimodal Walking Dataset Bri dges Lab-to-Real-World Gap for Rehabilitation Robots

  The ressearch team from the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences, in collaboration with researchers from other universities, multiple university teams, has have released an open-source multimodal lower-limb walking dataset named K2MUSE.
• 07/09 -2026-
  New Wearable Microneedle Sensing Platform for Dopamine Detection Developed by SIABicatalytic Nanozyme Patch Enables Painless Dopamine Monitoring

  Recently, a research team from the Robotics Laboratory, Shenyang Institute of Automation (SIA) of the Chinese Academy of Sciences, has made progress in the field of wearable biosensing. Addressing the industrial bottleneck of achieving minimally invasive, real-time, highly sensitive, and accurate detection of dopamine in human skin interstitial fluid, the team innovatively constructed a wearable microneedle sensing platform integrated with a bicatalytic nanozyme, opening up a new technological pathway for dynamic neurotransmitter monitoring, early screening of neurological diseases, and home-based intelligent health monitoring.