Research Progress

• 03/20 -2020-
  Porous material enables autonomous underwater vehicles to "swim" further

  Under the study, researchers conducted research on the mechanical characteristics and drag reduction mechanism of autonomous underwater vehicles using porous material, and performed preliminary comparative tests.
• 03/18 -2020-
  Progress made in smart grid data analysis research

  Under the leadership of professors WANG Zhongfeng and SONG Chunhe, the smart grid research group of Shenyang Institute of automation proposed an anomaly detection model suitable for unbalanced data distribution, aiming at the problem that the imbalance of abnormal data and normal data distribution results in significant reduction of anomaly detection accuracy in the process of smart grid data analysis.
• 03/18 -2020-
  New wheel-leg-crawler compound EOD robot developed by SIA

  In complex environments, Scorpio can use crawler walking to overcome obstacles and climb stairs; on flat city roads, it can use two-wheel self-balancing mode to walk, with high speed, high flexibility, low energy consumption and long battery life.
• 02/21 -2020-
  Infrared Stripe Correction Algorithm Proposed to Enhance Quality of Infrared Images

  Recently, researchers at Shenyang Institute of Automation of Chinese Academy of Sciences proposed an infrared image stripe non-uniformity correction algorithm that can use a single frame of infrared image to remove stripe non-uniformity and maintain edge details. Relevant research results are published in Applied Sciences-Base and Journal of the European Optical Society-Rapid Publications.
• 02/19 -2020-
  New Relay Node Placement Method Makes Transmission of WSNs More Timely and Reliable

  The research group on Industrial Wireless Networks at Shenyang Institute of Automation, Chinese Academy of Sciences (SIA) proposed a novel relay node placement method for wireless sensor networks (WSNs) which serves as a solid foundation to guarantee the real-time and reliable transmission of WSNs.
• 02/17 -2020-
  New method proposed to achieve better robot self-learning

  The research team proposed a new framework of incremental learning method based on Q-Learning and adaptive kernel linear (AKL) model. The framework allows robot to learn new behaviors without forgetting the previous ones. Under the new method, robot behaviors can be evaluated by means of autonomous learning and imitation learning, and the model structure and parameters can be changed in real time using a novel L2-norm kernel recursive least squares (L2-KRLS) algorithm.
• 01/21 -2020-
  Researchers help snake-like robot swim better undersea

  Recently, an underwater gliding snake-like robot (UGSR), which combines the characteristics of an underwater glider and an underwater snake-like robot, is proposed by Shenyang Institute of Automation, Chinese Academy of Sciences. The robot can realize gliding motion driven by net buoyancy and multiple swimming gaits driven by joint torque, showing the advantages of strong endurance and good maneuverability. The study was published on Science China-Information Sciences.
• 01/03 -2020-
  Researchers propose novel image forgery detection technology to help legal cases

  The research team overcame a series of issues such as obtaining reliable motion blur kennels on small image patches, estimating the 3D motion path of the camera during exposure, etc., and the proposed method can significantly improve the forgery detection accuracy.
• 01/03 -2020-
  China's first solar sail verifies key technologies in orbit

  The solar sail is a spacecraft powered by the reflected light pressure of the sun on the membrane. It does not consume additional chemical fuel and working medium during navigation, and has the characteristics of small mass, large collection-expansion ratio, low cost, low power consumption and long-range.
• 12/31 -2019-
  Research on limited buffer scheduling problems in flexible flow shops with setup times