Shenyang Institute of Automation

A vision-based docking planning network for robust recovery of autonomous underwater vehicles

Autonomous Underwater Vehicles (AUVs) are core intelligent platforms in fields such as marine resource exploration and offshore engineering operations. Stable underwater autonomous recovery technology is crucial for ensuring the continuous safety and efficient operation of AUVs....

Construction and Functional Engineering of Bio-Integrated Micro/Nanorobots for Theranostic Applications

Bio-integrated micro/nanorobots combine intrinsic biological properties with engineered capabilities, offering promising platforms for biomedical intervention. These systems can exploit biological motility, recognition and therapeutic activity while incorporating controlled navig...

LeakAgent: a multi-agent system for leak detection using multi-modal large language model coordination in water distribution network

Water distribution networks (WDNs) suffer from severe leakage, yet pinpointing the leaks remains difficult. Data-driven detection is typically split into disconnected stages of hydraulic modelling, partitioning, sensor planning and analysis, and it treats the questions of whether...

Spatial layout planning of cable based on a hybrid method combining interference obstacle local post-insertion and improved Dubins curves

Cables in three-dimensional (3D) wall-adherent routing must simultaneously satisfy terminal direction vectors and bending curvature constraints, making forward design and precise pre-cutting a significant challenge. To address this, this paper proposes a hybrid planning method, t...

Bio-Inspired Phase-Aware Skill Graph for Robust Long-Horizon Robotic Manipulation with Promptable Control

Long-horizon robotic manipulation requires coordinating multiple motor primitives under uncertainty, especially in contact-rich and changing environments. Existing end-to-end visuomotor policies often lack explicit temporal structure, causing brittle execution and limited recover...

Will work for sardines: 20 years of animal-borne ocean observing by Australia’s Integrated Marine Observing System (IMOS) Animal Tagging Facility

The world’s ocean stores ~90% of the excess heat generated by anthropogenic global warming, making sustained ocean observations essential for understanding physical, biological and climate processes. Here, we describe how the Integrated Marine Observing System (IMOS) Animal Taggi...

A random forest: based intelligent framework for automated electrochemical impedance analysis in industrial corrosion monitoring

<title>Abstract</title> Electrochemical impedance spectroscopy (EIS) is widely applied for corrosion characterization of pipeline steel under complex environmental conditions. However, conventional EIS analysis relies heavily on expert experience for equivalent circuit identifica...

ODARRL: Obstacle- and Disturbance-Aware End-to-End Residual Reinforcement Learning for Underwater Robot Trajectory Tracking with Obstacle Avoidance

ROVs are essential for marine exploration and underwater operations, yet conventional teleoperation relies heavily on skilled human operators, and many autonomous methods stop at high-level planning rather than low-level actuation, limiting robustness in disturbed and cluttered e...