Results 91 to 100 of about 28,492 (283)

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

Astronomi cal Color Image Compression Using Multilevel Block Truncation Coding –Modified Vector Quantization Technique

open access: yesمجلة كلية التربية للبنات, 2019
A common approach to the color image compression was started by transform the red, green, and blue or (RGB) color model to a desire color model, then applying compression techniques, and finally retransform the results into RGB model In this paper, a new
الدكتورة بشرى قاسم العبودي محمد عبدالقادر عبدالستار
doaj  

Model to Estimate Soil Erosion Based on Imaging Analysis

open access: yesBulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca: Horticulture, 2019
The study aimed to development a prediction model for soil erosion degree by image analysis techniques. The spectral information was obtained by image analysis in the RGB and HSB color system, and by calculus resulted rgb normalized values.
Florin SALA   +2 more
doaj   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

A lightweight color and geometry feature extraction and fusion module for end-to-end 6D pose estimation

open access: yesInternational Journal of Advanced Robotic Systems
Although advancements in red–green–blue-depth (RGB-D)-based six degree-of-freedom (6D) pose estimation methods, severe occlusion remains challenging. Addressing this issue, we propose a novel feature fusion module that can efficiently leverage the color ...
Guoyu Zuo, Hong Liu, Jiangeng Li
doaj   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

open access: yesAdvanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince   +3 more
wiley   +1 more source

Optimal Color Model for Information Hidingin Color Images

open access: yesمجلة بغداد للعلوم, 2008
In present work the effort has been put in finding the most suitable color model for the application of information hiding in color images. We test the most commonly used color models; RGB, YIQ, YUV, YCbCr1 and YCbCr2.
Baghdad Science Journal
doaj   +1 more source

Enabling Real‐Time Shape‐Sensing in Soft Robots via a Miniaturized, Single‐Signal, Color‐Tuned Soft Optical Sensor

open access: yesAdvanced Robotics Research, EarlyView.
A miniaturized soft optical sensor that uses thin film color tuning enables real‐time 3D shape‐sensing from a single red–green–blue (RGB) signal. When integrated into a soft robot, it enables closed‐loop control and autonomous navigation in a phantom lung environment without the need for onboard electronics, achieving sub‐millimeter accuracy through ...
Frank Juliá Wise   +6 more
wiley   +1 more source

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

open access: yesAdvanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

open access: yesAdvanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong   +7 more
wiley   +1 more source

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