A New Breakthrough in Robotic Grasp Pose Estimation — MetaCoorNet Network Academic Background and Research Challenges Robotic grasping is a fundamental challenge in the field of robotics, centered on enabling robots to interact with their environment to perform object picking and manipulation tasks. Despite the immense potential applications of aut...

Identifiability and Parameter Estimation Difficulty of Structured Systems with Matrix Fraction Description Based on Finite Frequency Responses Background In scientific research and engineering applications, parameter identification is a core task for understanding and controlling complex systems. Whether in power systems, mechanical systems, or che...

Research on Cooperative Output Regulation of Heterogeneous Directed Multi-Agent Systems: A Fully Distributed Model-Free Reinforcement Learning Framework Background In recent years, the study of distributed control and optimization has demonstrated broad application prospects in smart transportation, smart grids, distributed energy systems, and othe...

Review of Research on Time-Varying Formation Tracking Control for Multi-Agent Systems in Constrained Regions Multi-Agent Systems (MAS) have drawn significant attention in recent years due to their broad applications in fields such as multiple autonomous underwater vehicles (AUVs) and multi-rotor drones. Additionally, MAS present potential benefits ...

Neural Network-Powered Microsurgical System: Advancing Precision in Cataract Surgery Academic Context and Research Problem Cataracts are the leading cause of blindness worldwide. Phacoemulsification combined with intraocular lens (IOL) implantation has emerged as the primary treatment method. This approach not only significantly improves patients’ ...