Results 71 to 80 of about 7,169 (217)

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos   +6 more
wiley   +1 more source

Mimic Grasping: A Modular and Flexible Programming‐by‐Demonstration Robotic Grasping Solution

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The Industry 5.0 concept guides the industry to the premise of sustainability, resilience and human‐centric solutions. The last related pillar tries to create solutions to empower the people in production line processes since solutions should be designed to be easy to use and easy to learn without discarding the working people. In this regard,
João P. C. de Souza   +3 more
wiley   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía   +3 more
wiley   +1 more source

Extraordinary Dynamic Near Vision in Champion Shotgun Shooters: PDI Check Evaluation of Stereo and Color without Floor Effect

open access: yesClinical Ophthalmology, 2021
Steven Brown,1 Clayton Rue,2 Kyle Smith,3 Robert Arnold4 1Martin Methodist University, Pulaski, TN, USA; 2NSCA Level III Instructor, Anchorage, AK, USA; 3Accurate Vision, Anchorage, AK, USA; 4Alaska Blind Child Discovery, Alaska Children’s EYE &
Brown S, Rue C, Smith K, Arnold R
doaj  

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons   +6 more
wiley   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

open access: yesSmall, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun   +4 more
wiley   +1 more source

RAGLRO: Retrieval‐Augmented Generation With Large Language Models for Robotic Operations

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifically designed for power switchgear operation tasks.
Wenrui Wang   +6 more
wiley   +1 more source

Automated counting of fish in moving diver‐operated videos (DOV) for biodiversity assessments

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Underwater video transects are crucial to assess marine biodiversity and biomass. Counting fish in these videos is labour‐ and time‐intensive and operator‐dependent. Automating this step would create non‐biased biodiversity data and decouple the data collection campaign from any field constraints.
Kilian Bürgi   +6 more
wiley   +1 more source

SAD-Based Stereo Vision Machine on a System-on-Programmable-Chip (SoPC)

open access: yesSensors, 2013
This paper, proposes a novel solution for a stereo vision machine based on the System-on-Programmable-Chip (SoPC) architecture. The SOPC technology provides great convenience for accessing many hardware devices such as DDRII, SSRAM, Flash, etc., by IP ...
Zhangwei Chen, Xiang Zhang
doaj   +1 more source

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