Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)最新文献

Hand Gesture Recognition

In article number 2400663, Pegah Pezeshkpour and co-workers present a hand gesture recognition application using a radar sensor for Braille displays. The range-time and velocity-time maps were extracted from the raw data and were processed in the form of spectrogram images. Using support vector machines and convolutional neural network approaches, ten hand gestures were successfully classified with high detection accuracy.

Mechanomedicine

The emergence of magneto-mechanical actuation systems in biomedical research and mechanomedicine, ranging from single particles to 3D scaffolds, enable dynamic and remote modulation of cellular processes. By mechanically simulating physiological and pathological processes, these systems offer a new path for invitro research, that may be translated to in vivo innovation for therapeutic discoveries. More details can be found in article number 2400638 by Daniel Garcia-Gonzalez and co-workers.

Wood-Based Honey-Gated Transistors

In this study, Emanuel Carlos, Rodrigo Martins, and co-workers fabricated transistors printed onto wood, a biodegradable and renewable substrate that simplifies production by reducing processing steps, while creating opportunities for smart functionalities. The device combines wood with zinc oxide and honey, both environmentally friendly materials. Remarkably, the transistor demonstrated synaptic behavior, including plasticity and neural facilitation, emphasizing its potential for ecofriendly and sustainable neuromorphic systems. More details can be found in article number 2400760.

Spiking Neural Networks

In article number 2400673, Jonghyuk Park, Sungjoon Kim, and Woo Young Choi present a neuron circuit that optimizes vector-matrix multiplication performance in spiking neural networks (SNNs) while ensuring low-power consumption. This research validates the achievement of high SNN system accuracy through a CMOS neuron circuit arranged to prevent non-linear operations that occur during the integration of massive synaptic arrays and neurons.

Self-Driving Labs

The cover image symbolizes the synergy of robotics, data, and biotechnology in this research. A robotic hand balances a sphere surrounded by DNA and binary code, reflecting the optimization of DNA purification through our self-driving laboratory (SDL). Integrating robotics, machine learning, and automation, the SDL accelerates bioprocess development, enabling sustainable, efficient, and scalable solutions for complex biotechnological challenges. More details can be found in article number 2400564 by Sebastian Putz, Matthias Franzreb, and co-workers.

Star-Nose-Inspired Bionic Soft Robot

This image portrays a bionic soft robot inspired by the star-nosed mole, equipped with a PDMS-PET cylindrical tactile sensor array based on bilayer single-electrode triboelectric nanogenerators, mimicking the appendage surrounded by Eimer’s organs and the muscle tissue of the mole’s nose. It detects object distance and shapes effectively, achieving non-visual three-dimensional spatial detection and reconstruction. More details can be found in article number 2400601 by Yunqi Cao, Dibo Hou, and co-workers.

Multiple Waypoints Trajectory Planning

In article number 2400363, Da-hui Lin-Yang, Francisco Pastor, and Alfonso J. García-Cerezo present a time-optimal trajectory planner for drones, computing minimal-time multi-waypoint trajectories. The cover highlights drones navigating pre-planned paths with precision, visualized through colorful arcs. The experiments were conducted in a motion capture system, ensuring accurate trajectory tracking and validation in controlled environments. This work advances rapid and efficient motion planning.

High-Precision Drop-on-Demand Printing

In article number 2400621, Dae-Hyun Cho, Doyoung Byun, and co-workers introduce a high-precision printing technique that uses charged droplets to pattern complex, nonplanar surfaces with the help of machine learning. The method suits flexible electronics and display technologies, enabling precise material deposition on curved and 3D substrates. This approach promises new possibilities in advanced manufacturing and next-generation device fabrication.

Optical Microrobotic Swarms in Complex Environments

Yuebing Zheng and co-workers (see article number 2400409) introduce a novel control strategy that autonomously navigates microrobotic swarms over long distances in complex environments, ensuring swarm integrity and improving obstacle avoidance. This approach addresses challenges like swarm collapse and particle immobilization, enhancing the robustness of the microrobotic system. The strategy paves the way for advanced applications such as precise drug delivery, nanosurgery, and the study of collective motions.