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

Bio-Inspired Resilient Locomotion

In the Research Article (DOI: 10.1002/aisy.202500270), Poramate Manoonpong and co-workers present decentralized adaptive resilient neural control for legged robots. The neural control method encodes leg movement adaptation strategies from stick insects, enabling robots to autonomously adapt to leg loss to continue their mission.

Physics-Informed Neural Network

An online learning control framework with a data cache pool based on a Constant-Curvature Model Inspired Neural Network (CCMINN) model to obtain the inverse kinematics model of tendon actuated continuum manipulators is proposed. Combining the fast-converging CCMINN with an online learning control framework enables high-precision and highly robust positioning control of continuum manipulators under various external payloads. More details can be found in the Research Article by Chaoyang Shi and co-workers (DOI: 10.1002/aisy.202401027).

Optoelectronic Neuromorphic System

This research introduces an indium-gallium-zinc-oxide (IGZO)-based optoelectronic neuromorphic system, including an IGZO optoelectronic synaptic transistor array with light guides and IGZO optoelectronic neuron circuits. The IGZO synaptic transistor exhibits high-retention synaptic plasticity under negative voltage bias. The IGZO neuron circuit is experimentally validated, revealing its dual functionality as a signal driver during programming and as an I&F neuron during inference. More details can be found in the Research Article by Soo-Yeon Lee and co-workers (DOI: 10.1002/aisy.202500402).

Robotic Needle Steering

In the Review Article (DOI: 10.1002/aisy.202500478), Yu Sun, Changsheng Dai, and co-workers review recent advances in robotic needle steering technologies for percutaneous interventions, focusing on three key areas: real-time sensing, physics-informed modeling of soft tissue and needle interactions, and adaptive trajectory planning for closed-loop control. They further outline emerging directions in AI-driven autonomy and the use of advanced biocompatible materials, highlighting their potential to improve the safety, precision, and adaptability of robotic-assisted clinical procedures.

Particle Robots

This paper introduces an innovative class of electronic-free particle robots that communicate via mechanically architected tentacles. Through tunable physical contact and vibration-induced transitions, the robots exhibit locking, repelling, and swarm behaviors. The system enables fast, sequential, and hierarchical deployment, paving the way for programmable, scalable swarm intelligence across multiple physical scales in particle robotics. More details can be found in Research Article by William Freeman, Wojciech Matusik, Bolei Deng, and co-workers (DOI: 10.1002/aisy.202500151).

Symbolic Reservoir Computing Using Memristive Cellular Automata

In quest of a neuro-symbolic system with the strengths of both neural network and symbolic approaches, Cheng Ma, Wenrui Duan, Huanglong Li, and co-workers have proposed and experimentally demonstrated a memristor crossbar array-based cellular automata (symbolic) for reservoir computing (neural network), exhibiting high parallelism, high energy efficiency and high robustness (due to hyper-dimensionality) against inherent variations of the emerging hardware. More details can be found in the Research Article DOI: 10.1002/aisy.202500241.

Pneumatic Actuators

A wearable device using pneumatic actuators and origami pumps was proposed to generate multiple feedbacks including normal force, shear force, and vibration. The actuators and origami pumps are made of soft materials to reduce weight significantly, thereby increasing wearability while delivering appropriate force and air pressure. More details can be found in the Research Article by Youngsu Cha and co-workers (DOI: 10.1002/aisy.202500374).

Microrobots

Magnetic microrobots hold a promising future in many industries but are challenging to fabricate. An automated fabrication process is vital for accurate, reproducible products that can be developed quickly and efficiently. Grippers are one of the most widely used microrobots capable of numerous tasks such as grasping, crawling and targeted delivery. This cover is designed to represent the automated fabrication of magnetic microdevices. More details can be found in the Research Article by Onaizah Onaizah and co-workers (DOI: 10.1002/aisy.202500051).

Smart Prosthetic Sockets

Residual limb volume fluctuations can significantly compromise prosthetic socket fit, causing discomfort and instability, and often requiring frequent adjustments or replacements. This study presents a transfemoral socket with a motorized cable-driven mechanism and sensorized liner, adapting to volume changes via interface pressure monitoring. Controlled in open- or closed-loop modes through a custom mobile app, it enhances comfort, stability, and user autonomy. More details can be found in the Research Article by Linda Paternò and co-workers (DOI: 10.1002/aisy.202400995).