Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback
Advanced Intelligent Systems, EarlyView.We introduce the tactile safety margin (TSM), defined as the ratio between applied friction force (Ffric) and maximum friction (Fmax) derived from grip force. A bilayer E‐skin with decoupled temperature, strain, and pressure sensing enables real‐time grasp stability monitoring through measured TSM values, allowing robots to proactively adjust grip ...
Yebin Park +10 more
wiley +1 more source
Scale invariance in natural and artificial collective systems: a review. [PDF]
J R Soc Interface, 2017 Khaluf Y +3 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Conference Report: INTERNATIONAL WORKSHOP ON SEMICONDUCTOR CHARACTERIZATION: PRESENT STATUS AND FUTURE NEEDS Gaithersburg, MD January 30 - February 2, 1995. [PDF]
J Res Natl Inst Stand Technol, 1995 Seiler DG, Shaffner TJ.
europepmc +1 more source
Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle
Advanced Intelligent Systems, EarlyView.This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan +8 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Self-organization in leaky threshold systems: the influence of near-mean field dynamics and its implications for earthquakes, neurobiology, and forecasting. [PDF]
Proc Natl Acad Sci U S A, 2002 Rundle JB +3 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
Advanced Intelligent Systems, EarlyView.This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Exploring the Versatility of Aerogels: Broad Applications in Biomedical Engineering, Astronautics, Energy Storage, Biosensing, and Current Progress. [PDF]
HeliyonKhan NR, Sharmin T, Bin Rashid A.
europepmc +1 more source