Exploration-based Model Learning with Self-Attention for Risk-Sensitive Robot Control

Discussion on Risk-Sensitive Robot Control Based on Self-Attention Mechanism Research Background The kinematics and dynamics in robot control are key factors to ensure the precise completion of tasks. Most robot control schemes rely on various models to achieve task optimization, scheduling, and priority control. However, the dynamic characteristic...

Bio-Inspired 3D-Printed Artificial Limb Assisting Cyborg Insects in Self-Righting Locomotion

Bio-Inspired 3D-Printed Artificial Limb Assisting Cyborg Insects in Self-Righting Locomotion

Research Background In rescue missions, to improve search and rescue efficiency, an emerging solution is the use of a combination of electronic backpacks and insects, known as cyborg insects. These insects combine the advantages of biological and electronic technologies, with additional electronic backpacks used for communication, sensing, and cont...

Trimmed Helicoids: An Architectured Soft Structure Yielding Soft Robots with High Precision, Large Workspace, and Compliant Interactions

Trimmed Helicoids: An Architectured Soft Structure Yielding Soft Robots with High Precision, Large Workspace, and Compliant Interactions

Trimming Helicoidal: A Soft Structure with High Precision, Large Workspace, and Compliant Interaction Background Introduction In recent years, inspired by biological systems, many researchers have gradually shifted from traditional rigid robot paradigms towards designs that incorporate compliant materials and structures. An elephant trunk is a typi...

Giant Electron-Mediated Phononic Nonlinearity in Semiconductor–Piezoelectric Heterostructures

Giant Electron-Mediated Phononic Nonlinearity in Semiconductor–Piezoelectric Heterostructures

Large Electron-Mediated Phonon Nonlinearity in Semiconductor-Piezoelectric Heterostructures In modern science and technology, the efficiency and determinacy of information processing are crucial determinants of its application potential. Nonlinear photonic interactions at optical frequencies have already demonstrated significant breakthroughs in bo...

Clamping Enables Enhanced Electromechanical Responses in Antiferroelectric Thin Films

Study on Enhanced Electromechanical Response of Antiferroelectric Thin Films Based on Clamping Effect Background Antiferroelectric thin film materials have garnered significant attention for their potential applications in micro/nano electromechanical systems. These systems require materials with high electromechanical responses, capable of generat...

Phase Segregation and Nanoconfined Fluid O2 in a Lithium-Rich Oxide Cathode

Dynamic and Thermodynamic Study of Structural Changes in Lithium-Ion Battery Cathode Materials Academic Background and Research Motivation Lithium-ion batteries are a crucial power source for modern portable electronic devices and electric vehicles, traditionally using layered LiCoO2 cathode materials. However, the ongoing demand for high energy de...

Regulation of Metal Bond Strength Enables Large-Scale Synthesis of Intermetallic Nanocrystals for Practical Fuel Cells

In recent years, fuel cells, as a clean and renewable energy technology, have garnered widespread attention. However, the extensive application of fuel cells faces the challenge of the stability of oxygen reduction reaction (ORR) electrocatalysts. L10-structured intermetallic nanocrystals (INCs) with chemically ordered structures, due to their lowe...

A Grid Fault Diagnosis Framework Based on Adaptive Integrated Decomposition and Cross-Modal Attention Fusion

A Grid Fault Diagnosis Framework Based on Adaptive Integrated Decomposition and Cross-Modal Attention Fusion Research Background With the continuous expansion and increasing complexity of modern power systems, the stable operation of the grid faces growing challenges. Grid faults can occur due to natural disasters, equipment failures, and local gri...

Fast Synchronization Control and Application for Encryption-Decryption of Coupled Neural Networks with Intermittent Random Disturbance

Fast Synchronization Control and Application for Encryption-Decryption of Coupled Neural Networks With Intermittent Random Disturbance I. Background and Research Motivation In recent years, neural networks have been widely applied in various fields such as data classification, image recognition, and combinatorial optimization problems. Regarding th...

Adaptive Sampling Artificial-Actual Control for Non-Zero-Sum Games of Constrained Systems

Adaptive Sampling Artificial-Actual Control for Non-Zero-Sum Games of Constrained Systems Background In modern industrial and scientific research fields, the rapid development of intelligent technology and control systems makes traditional control methods difficult to meet the strict requirements of ensuring system stability and minimizing energy c...