Auditory Cues Modulate the Short Timescale Dynamics of STN Activity During Stepping in Parkinson’s Disease

Patients with Parkinson’s Disease (PD) often experience gait impairments, which severely affect their quality of life. Previous studies have suggested that β-frequency (15-30 Hz) oscillatory activity in the basal ganglia may be associated with gait impairments, but the exact dynamics of these oscillations during the gait process remain unclear. Add...

Learning Inverse Kinematics Using Neural Computational Primitives on Neuromorphic Hardware

Learning Inverse Dynamics Using Brain-Inspired Computational Principles on Neuromorphic Hardware Background and Research Motivation In the modern field of robotics, there is great potential for low-latency neuromorphic processing systems enabling autonomous artificial agents. However, the variability and low precision of current hardware foundation...

Magneto-Oscillatory Localization for Small-Scale Robots

Detailed Explanation of a New Small-scale Magneto-oscillatory Localization Method and Its Application in Robotics Research Background and Motivation Micro-robots have demonstrated immense potential in the medical field, especially in minimally invasive surgeries, targeted drug delivery, and in vivo sensing. Recently, significant progress has been m...

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...

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...

Advanced Optimal Tracking Integrating a Neural Critic Technique for Asymmetric Constrained Zero-Sum Games

Academic Report: Advanced Optimal Tracking Integrating Neural Critic Technique for Asymmetric Constrained Zero-Sum Games Background and Research Problem In the field of modern control, game theory is the mathematical model that studies the competition and cooperation between intelligent decision-makers, involving an interaction decision problem wit...

Structure Enhanced Prototypical Alignment for Unsupervised Cross-Domain Node Classification

Structurally Enhanced Prototype Alignment for Unsupervised Cross-Domain Node Classification Introduction With the advancement of modern information technology, Graph Neural Networks (GNNs) have demonstrated significant success in handling complex network node classification tasks. However, one key challenge is the need for a large amount of high-qu...

Unsupervised Domain Adaptive Segmentation Algorithm Based on Two-Level Category Alignment

Unsupervised Domain Adaptive Segmentation Algorithm Based on Two-Level Category Alignment

Semantic segmentation aims to predict category labels for each pixel in an image (Liu et al., 2021; Wang et al., 2021) and is widely used in scene understanding, medical image analysis, autonomous driving, geographic information systems, and augmented reality (Strudel et al., 2021; Sun et al., 2023). Although the development of deep neural networks...