Research Progress

• 02/27 -2025-
  Researchers Propose a New Method in Domain Generalization

  Machine Intelligence Group from Shenyang Institute of Automation(SIA), the Chinese Academy of Sciences, proposed a domain generalization method based on weighted label smoothing regularization, relying on the consistency of relative semantic relationships between categories in different data domains.
• 02/20 -2025-
  Scientists Develop A Soft Robotic Fish based on Bionic Muscle Actuation and Embedded Flexible Sensing

  Relevant studies have shown that the efficient swimming behavior of fish is closely related to their highly sensitive lateral line sensing system and the highly developed, controllable muscle actuation system.
• 01/05 -2024-
  SIA researchers make progress in active collision avoidance control for the continuum robot

  Recently, the research team of Professor LIU Hao from the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), and Professor Zhang Zhongtao from Friendship Hospital made progress in the research of active collision avoidance for continuum robots. Their work, titled “Active collision avoidance for teleoperated multi-segment continuum robots toward minimally invasive surgery”, has been published online in the journal, The International Journal of Robotics Research (IJRR).
• 01/04 -2024-
  A novel marsupial robotic system for cross-scale targeted drug delivery in glioma treatment

  A research team from the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), in collaboration with Shengjing Hospital of China Medical University, developed a nanorobot-based marsupial robotic system that can enter the skull through a minimally invasive channel, bypass the blood？brain barrier to reach the glioma site, and accurately deliver drugs to the glioma lesion.
• 12/04 -2023-
  New progress in ultra-reliable ultra-latency communication of industrial 5G

  Recently, IEEE Communications Magazine, an internationally renowned academic journal in the field of communication and network (top journal of the first region of the Chinese Academy of Sciences, IF: 11.2), published the latest results from the industrial 5G team of the Shenyang Institute of Automation, Chinese Academy of Sciences: Towards Critical Industrial Wireless Control: Prototype Implementation and Experimental Evaluation on URLLC .
• 09/15 -2023-
  Unveiling the Aquatic Marvel: Researchers Designes an Underwater Climbot Inspired by Rock-climing Fish

  A collaborative effort between a research team at the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), and institutions including the Chengdu Institute of Biology, Chinese Medical University, Tsinghua University, and the University of Hong Kong, has shed light on the closely guarded secrets behind the rock-climbing fish’s dynamic adhesion and rapid crawling movements.
• 08/10 -2023-
  SIA researchers proposed new method for industrial parts measurement

  The high-precision measurement of industrial part dimensions and key parameters is crucial for ensuring manufacturing accuracy and assembly reliability. Recently, a research team under the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS) has made new advancements in the field of industrial part measurements. They proposed an optical low-coherence measurement method suitable for industrial parts with significant variations in surface reflectance, and realized high-precision measurement of key parameters for industrial parts with various reflective properties, including specular, quasi-specular, and diffuse reflection surfaces.
• 07/11 -2023-
  SIA Researchers Made Progress in Predictive Modeling of Complex Industrial Data

  In view of the problems of insufficient data and algorithm cold start in the modeling process of complex industries such as metallurgy, big data research group under Digital Factory Department of Shenyang Institute of Automation (SIA), the Chinese Academy of Sciences (CAS) has proposed a prediction method of industrial process time series based on dynamic Transfer learning under limited data volume. This method aims at improving multi-step time series prediction accuracy and reducing calculation costs.
• 07/06 -2023-
  Study on Intelligent Maintenance and Management of Industrial Equipment Achieved Progress

  A research team from Shenyang Institute of Automation (SIA) of the Chinese Academy of Science (CAS) proposed a novel spatiotemporal feature learning-based framework, where the data are first segmented and an augmented matrix is constructed to form the featured information containing spatial dependencies and temporal correlations.
• 06/16 -2023-
  Bubble Detection in Photoresist with Small Samples Based on GAN Augmentations and Modified YOLO

  A research team led by Prof. YANG Zhijia from the Shenyang Institutes of Automation of the Chinese Academy of Sciences has developed image augmentation method based on adversarial generative network (GAN) for the limited number of samples, which was used for detecting bubbles in the photoresist during semiconductor manufacture.