Výsledky vyhledávání - Deep learning in robotics and automation

Edge-Deployed Deep Learning for Automated Quality Control in Industrial Assembly: A Case Study in Real-Time Defect Detection

Autoři: Ashourpour, Milad Azizpour, Ghazaleh

Zdroj: Procedia CIRP. :735-740

Témata: Assembly Line, Deep Learning, Defect Detection, Robotic Automation, YOLOv8, Computer vision, Cost effectiveness, Deep neural networks, Defects, Error detection, Inspection, Process control, Robotic assembly, Case-studies, Convolutional neural network, Cost-effective solutions, Industrial assemblies, Real- time, Economic and social effects

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-69346
https://doi.org/10.1016/j.procir.2025.02.180

Fast and Robust Visuomotor Riemannian Flow Matching Policy

Autoři: Ding, Haoran Jaquier, Noémie Peters, Jan a další

Zdroj: IEEE Transactions on robotics. 41:5327-5343

Témata: Deep learning in robotics and automation, learning and adaptive systems, learning from demonstrations, riemannian flow matching, visuomotor policies

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-369864
https://kth.diva-portal.org/smash/get/diva2:1998239/FULLTEXT01.pdf

Advancing robotic systems with Ensemble and Modular Deep Learning: research idea and framework.

Autoři: Artiushenko, Viktor Reider, Richard Reggelin, Tobias a další

Zdroj: Procedia Computer Science. 2025, Vol. 253, p2557-2566. 10p.

Témata: Ensemble learning, Artificial intelligence, Modular construction, Robotics, Automation, Deep learning

New solutions to control robotic environments: quality control in food packaging

Autoři: Banús Paradell, Núria

Přispěvatelé: University/Department: Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada i Estadística (2013-)

Thesis Advisors: nbanusparadell@gmail.com, Boada, Imma, Xiberta, Pau

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Indústria alimentària, Processament d'aliments, Industria alimentaria, Procesado de alimentos, Food processing industry, Xarxes neuronals convolucionals, Redes neuronales convolucionales, Convolutional neural networks, Automatització de la indústria, Automatización de la industria, Industry automation, Visió per computador, Visión por computador, Machine vision, Intel·ligència artificial, Inteligencia artificial, Artificial intelligence, Computer vision for automation, Aprenentatge profund, Aprendizaje profundo, Deep learning, Control de qualitat d'envasos d'aliments, Control de calidad de envases de alimentos, Packaging quality control

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/673469

Object segmentation dataset generation framework for robotic bin-picking: Multi-metric analysis between results trained with real and synthetic data.

Autoři: Cordeiro, Artur Rocha, Luís Freitas Boaventura-Cunha, José a další

Zdroj: Computers & Industrial Engineering. Jul2025, Vol. 205, pN.PAG-N.PAG. 1p.

Témata: *AUTOMATION, *ROBOTICS, *INDUSTRIAL applications, *EXPERTISE, DEEP learning

Real-Time Robotic Grasp Stability Detection via DynConv-MIL: A Lightweight Deep Learning Approach.

Autoři: Wang, Jingnan Qin, Pengjie Wang, Yaling a další

Zdroj: Procedia Computer Science. 2025, Vol. 271, p114-119. 6p.

Témata: Tactile sensors, Deep learning, Real-time computing, Machine learning, Mechanical efficiency, Industrial robots

Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation.

Autoři: Shi, Debo Rahimpour, Alireza Ghafourian, Amin a další

Zdroj: Diversity. 23(13)

Témata: AI, assembly automation, convolutional neural networks, deep learning, keypoint detection, manufacturing automation, pose estimation, robot manipulation, robotics, Bayes Theorem, Automation, Machine Learning

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/8ms7w3p1
https://escholarship.org/content/qt8ms7w3p1/qt8ms7w3p1.pdf

Deep Learning Approaches to Grasp Synthesis: A Review

Autoři: Newbury, Rhys Gu, Morris Chumbley, Lachlan a další

Zdroj: IEEE Transactions on robotics. 39(5):3994-4015

Témata: deep learning in robotics and automation, Dexterous manipulation, grasping, perception for grasping and manipulation

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-349565

AI AND ROBOTIC PROCESS AUTOMATION IN FINTECH: ANALYZING THE SHIFT TOWARDS DIGITIZED CUSTOMER SERVICES AND OPERATIONAL EFFICIENCY.

Autoři: MAH, Pascal Muam MUZAM, John PEŁECH-PILICHOWSKI, Tomasz a další

Zdroj: Scientific Papers of Silesian University of Technology. Organization & Management / Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie. 2023, Issue 187, p399-417. 19p.

Témata: *ARTIFICIAL intelligence, *FINANCIAL technology, *CUSTOMER services, ROBOTIC process automation, COGNITIVE computing, TRANSFORMATIVE learning

Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends.

Autoři: Siderska, Julia Aunimo, Lili Süße, Thomas a další

Zdroj: Engineering Management in Production & Services. Dec2023, Vol. 15 Issue 4, p90-103. 14p.

Témata: *ARTIFICIAL intelligence, *NATURAL language processing, DEEP learning

Editorial: Agricultural innovation in the age of climate change: a 4.0 approach

Autoři: Angelo Cardellicchio Vito Renò Carmela Rosaria Guadagno a další

Zdroj: Frontiers in Plant Science, Vol 16 (2025)

Témata: precision agriculture, sustainability, deep learning, artificial intelligence, robotics & automation in agriculture, Plant culture, SB1-1110

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2025.1715677/full; https://doaj.org/toc/1664-462X

Přístupová URL adresa: https://doaj.org/article/e1812f2bdc9f44008944e8f94d6f0db2

Fused RGB and IR image based deep learning detection of dried laver bugak for robotic automation systems

Autoři: Tae Hyong Kim Ah-Na Kim

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Témata: Image fusion, Deep learning, YOLO, Robot automation, Dried laver Bugak, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/cab1b5c752c64e42a5d9adc9ade886f9

Real-Time and Fully Automated Robotic Stacking System with Deep Learning-Based Visual Perception

Autoři: Ali Sait Ozer Ilkay Cinar

Zdroj: Sensors, Vol 25, Iss 22, p 6960 (2025)

Témata: computer vision, industrial automation, programmable logic controller integration, real-time object detection, robotic stacking, smart manufacturing, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/22/6960; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/64b45307582b4bdbbcb4a72215c32b11

Targeted weed management of Palmer amaranth using robotics and deep learning (YOLOv7)

Autoři: Amlan Balabantaray Shaswati Behera CheeTown Liew a další

Zdroj: Frontiers in Robotics and AI, Vol 11 (2024)

Témata: weed management, robotics and automation in agriculture, machine vision, artificial intelligence, targeted spraying, real time, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frobt.2024.1441371/full; https://doaj.org/toc/2296-9144

Přístupová URL adresa: https://doaj.org/article/a61c0585109f42bcaf3fd6b59947fbe1

Integration of Deep Learning Vision Systems in Collaborative Robotics for Real-Time Applications

Autoři: Nuno Terras Filipe Pereira António Ramos Silva a další

Zdroj: Applied Sciences, Vol 15, Iss 3, p 1336 (2025)

Témata: collaborative robots, computer vision, YOLO, deep learning, real-time object detection, industrial automation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/3/1336; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/b36144d2dc1444e59d146911c7833bfd

A Unification Between Deep-Learning Vision, Compartmental Dynamical Thermodynamics, and Robotic Manipulation for a Circular Economy

Autoři: Federico Zocco Wassim M. Haddad Andrea Corti a další

Zdroj: IEEE Access, Vol 12, Pp 173502-173516 (2024)

Témata: Automation for circularity, circular flow design, circular supply chain, thermodynamical material networks, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10746487/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/baa31399de4e4729a29a0ed53b1f4bcc

ARTIFICIAL INTELLIGENCE IN ROBOTICS AND AUTOMATION FOR MECHANICAL APPLICATIONS: A REVIEW

Autoři: Heena Jain Nitin Swarnkar

Deep reinforcement learning hands-on : apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more / Maxim Lapan.

Autoři: Lapan, Maxim. Autor Packt Publishing. Wydawca pbl

Přispěvatelé: Lapan, Maxim. Autor Packt Publishing. Wydawca pbl

Zdroj: Bibliografia przy rozdziałach. Indeks.

Témata: Deep learning

Other Title: Deep reinforcement learning hands-on

Přístupová URL adresa: http://katalog.nukat.edu.pl/lib/item?id=chamo:5196939&theme=nukat

Integrating machine learning, optical sensors, and robotics for advanced food quality assessment and food processing

Autoři: In-Hwan Lee Luyao Ma

Zdroj: Food Innovation and Advances, Vol 4, Iss 1, Pp 65-72 (2025)

Témata: food quality, artificial intelligence, optical sensors, deep learning, robotics, automation, Food processing and manufacture, TP368-456, Biotechnology, TP248.13-248.65

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2836-774X

Přístupová URL adresa: https://doaj.org/article/4be0c6a82f7a4ca88e3b2de3d996f108

The voraus-AD Dataset for Anomaly Detection in Robot Applications

Autoři: Brockmann, Jan Thies Rudolph, Marco Rosenhahn, Bodo a další

Zdroj: IEEE Transactions on robotics. 40:438-451

Témata: Dataset for anomaly detection (AD), deep learning in robotics and automation, failure detection and recovery, probability and statistical models

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-201696