Results 181 to 190 of about 353,149 (264)

Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka   +7 more
wiley   +1 more source

Energy efficient UAV-assisted two layer hierarchical bit-mapping access based MAC protocol. [PDF]

open access: yesSci Rep
Narayan Golatkar D   +5 more
europepmc   +1 more source

Gaze‐Engineered 3D Augmented Reality

open access: yesAdvanced Intelligent Systems, EarlyView.
Augmented Reality (AR) systems serve as a critical interface bridging users with the metaverse. This study explores the application of human factors engineering in metaverse development, specifically investigating the integration of eye‐tracking technology to enhance AR display performance.
Naiqin Zhao   +3 more
wiley   +1 more source

Torque‐Transmitting Architected Metamaterials for Flexible and Extendable Tubular Robotics

open access: yesAdvanced Intelligent Systems, EarlyView.
Soft and continuum robots commonly rely on fluid, tendon, or rod‐based power transmissions, to control robotic form and actuation. This study presents an architected structure, based on patterned straight‐line mechanisms, that enables simultaneous bending, extending, and torsionally rigid (BETR) transmission.
Sawyer Thomas, Aman Garg, Jeffery Lipton
wiley   +1 more source

Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation

open access: yesAdvanced Intelligent Systems, EarlyView.
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang   +6 more
wiley   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy