Research Progress

• 12/20 -2021-
  Reducing self-absorption effect by double-pulse combination in laser-induced breakdown spectroscopy
• 12/20 -2021-
  Novel power-exponent-type modified RNN for RMP scheme of redundant manipulators with noise and physical constraints
• 12/20 -2021-
  Monocular Visual-Inertial and Robotic-Arm Calibration in a Unifying Framework
• 12/20 -2021-
  Multifunctional thermo-magnetically actuated hybrid soft millirobot based on 4D printing
• 03/11 -2021-
  Researchers propose a novel bio-ink based on thiol-norbornene photoclick collagen for bioprinting and bio-syncretic robots

  Researchers from Shenyang Institute of Automation Chinese Academy of Sciences (SIACAS) have successfully synthesized norbornene-functionalized neutral soluble collagen, which can be quickly cross-linked by light stimulation and construct a high-resolution structure containing living cells, achieving an original breakthrough in cell-laden materials for advanced biological manufacturing technology.
• 02/07 -2021-
  Chinese researchers develop a novel bio-syncretic phototransistor based on living cells for visual perception

  Researchers from Shenyang Institute of Automation, Chinese Academy of Science (SIACAS), collaborating with partners from Tsinghua University and University of Hong Kong, developed a novel bio-syncretic phototransistor with optogenetically engineered cells and a graphene-based structure for visual perception. The study was published online on Biosensors and Bioelectronics on 30 January 2021.
• 01/26 -2021-
  Method based on atomic force microscopy proposed for probing the native behaviors of living exosomes

  Recently, researchers from Shenyang Institute of Automation Chinese Academy of Sciences (SIACAS) have successfully utilized atomic force microscopy (AFM) to probe the native behaviors of single living exosomes under aqueous conditions. Related study is published as a cover paper in Progress in Biochemistry and Biophysics with the title Nanostructures and mechanics of living exosomes probed by atomic force microscopy.
• 01/22 -2021-
  Novel cloud edge collaborative intelligent method proposed to enhance working durance of UAVs in insulator string detection

  Recently, the edge computing research group in Shenyang Institute of Automation, the Chinese Academy of Sciences (SIACAS) proposed a cloud edge collaborative intelligent method for object detection, in order to reduce the computational load for intelligence computing of UAVs. The study is published in IEEE Internet of Things Journal titled A Cloud Edge Collaborative Intelligence Method of Insulator String Detection for Power IIoT.
• 01/22 -2021-
  Shenyang Institute of Automation makes important progress on the research of deep learning generalization ability

  Recently, the State Key Laboratory of Robotics (build upon Shenyang Institute of Automation, Chinese Academy of Sciences) made important progress on the theoretical research of deep learning. The paper Depth selection for deep ReLU nets in feature extraction and generalization (first author: Prof. Zhi Han, second author: Siquan Yu PhD) has just been published on the international top journal IEEE Trans. on Pattern Analysis and Machine Intelligence.
• 12/31 -2020-
  Reliability Estimation for Zero-Failure Data Based on Confidence Limit Analysis Method