MetaCoorNet: An Improved Generative Residual Network for Grasping Pose Estimation

Information Science, Computer Science, Automation, Artificial Intelligence,
robot grasping   generative residual network   coordinate attention   feature fusion   meta light block   real-time accuracy   transparent objects  

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...

Explaining the Better Generalization of Label Distribution Learning for Classification

Information Science, Computer Science, Artificial Intelligence,
label distribution learning   classification   generalization   label distribution margin   label ambiguity   neural network  

Understanding Why Label Distribution Learning Exhibits Better Generalization in Classification Background Introduction In the fields of artificial intelligence and machine learning, classification problems have always been a central focus for researchers. With the continuous development of multi-label learning (MLL) and single-label learning (SLL),...

A Monolithic 3D IGZO-RRAM-SRAM-Integrated Architecture for Robust and Efficient Compute-in-Memory

Engineering, Electrical Engineering, Information Science, Computer Science, Semiconductors and Information Devices, Artificial Intelligence,
compute-in-memory   monolithic 3D   RRAM   IGZO   3D stacking   neural networks   system optimization  

Monolithic 3D IGZO-RRAM-SRAM Compute-in-Memory Architecture: A Breakthrough in Improving Neural Network Computation Efficiency Background and Research Motivation As neural networks (NNs) continue to find applications in artificial intelligence, traditional computing architectures struggle to meet their needs for energy efficiency, speed, and densit...

Cooperative Output Regulation of Heterogeneous Directed Multi-Agent Systems: A Fully Distributed Model-Free Reinforcement Learning Framework

Engineering, Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence,
heterogeneous systems   multi-agent systems   model-free reinforcement learning   event-triggered control   directed graphs   distributed control   cooperative output regulation  

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...

A Practical Distributed Randomness Beacon with Optimal Amortized Communication Complexity

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
randomness beacon   optimal communication complexity   permissionless setting   random number   timed commitment   distributed protocol   bias-resistance  

Cutting-edge Breakthrough in Distributed Randomness Beacon (DRB) Research — A Practical Solution Optimizing Communication Complexity for Large-scale Applications In numerous technological fields today, a reliable randomness beacon is a critical tool, playing a vital role in the security of cryptography, blockchain, electronic voting, and many other...

Observer-Based Event-Triggered Formation Tracking Control for Second-Order Multi-Agent Systems in Constrained Region

Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
formation tracking   event-triggered mechanism   multi-agent systems   constrained region   disturbance observer   artificial potential field   collision avoidance  

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 ...