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...

Tactile Perception: A Biomimetic Whisker-Based Method for Clinical Gastrointestinal Diseases Screening

Clinical Gastrointestinal Disease Screening Based on the Bionic Artificial Tentacle Method Background Gastrointestinal diseases display a wide range of complex symptoms globally, such as diarrhea, gastrointestinal bleeding, malabsorption, malnutrition, and even neurological dysfunction. These diseases pose significant health challenges and socioeco...

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...

Investigating Chiral Morphogenesis of Gold Using Generative Cellular Automata

Using Generative Cellular Automata to Study the Chiral Morphogenesis of Gold Background and Objectives Chirality is ubiquitous in nature and can be transferred and amplified between systems through specific molecular interactions and multi-scale couplings. However, the mechanisms of chiral formation and the critical steps during the growth process ...

Accelerating Ionizable Lipid Discovery for mRNA Delivery Using Machine Learning and Combinatorial Chemistry

Accelerating the Discovery of Ionizable Lipids for mRNA Delivery using Machine Learning and Combinatorial Chemistry Research Background To fully realize the potential of mRNA therapies, it is essential to expand the toolkit of lipid nanoparticles (LNPs). However, a key bottleneck in LNP development is identifying new ionizable lipids. Previous stud...

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...