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...

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...

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...

A Visualization Microdisplay for Neuronal Activity on the Brain Surface Using Electroencephalography Background Introduction Current functional mapping in neurosurgery primarily relies on verbal communication between neurosurgeons and electrophysiologists. These processes are time-consuming and have limited resolution. Additionally, the electrode g...