Results 61 to 70 of about 6,436 (295)

A Dynamic Route-Planning System Based on Industry 4.0 Technology

Algorithms, 2020
Due to the availability of Industry 4.0 technology, the application of big data analytics to automated systems is possible. The distribution of products between warehouses or within a warehouse is an area that can benefit from automation based on ...
Duy Nguyen Duc, Thong Tran Huu, Narameth Nananukul   +2 more
doaj   +1 more source

Utilization of Automated Guided Vehicles : CASE ABB Drives [PDF]

, 2020
Automaatio kasvattaa jatkuvasti suosiotaan valmistamisteollisuudessa. Se auttaa yrityksiä vastaamaan kilpailuun alhaisempia kustannuksia omaavia maita vastaan. Nykypäivän nopeasti vaihtuvat teknologiat sekä lyhyemmät tuotteiden eliniät vaativat joustavaa
Makkonen, Emil Pyry Iisakki
core  

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Simulation of Heuristics for Automated Guided Vehicle Task Sequencing with Resource Sharing and Dynamic Queues

Mathematics
Automated guided vehicles (AGVs) stand out as a paradigmatic application of Industry 4.0, requiring the seamless integration of new concepts and technologies to enhance productivity while reducing labor costs, energy consumption, and emissions.
Jonas F. Leon, Mohammad Peyman, Xabier A. Martin, Angel A. Juan   +3 more
doaj   +1 more source

Comparative Analysis of Metaheuristic Optimization Methods for Trajectory Generation of Automated Guided Vehicles

This paper presents a comparative analysis of several metaheuristic optimization methods for generating trajectories of automated guided vehicles, which commonly operate in industrial environments.
Jesús Enrique Sierra-García, Santos Peñas, Matilde, Eduardo Bayona, Bayona, Eduardo, Sierra-García, Jesús Enrique, Matilde Santos   +5 more
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Automated Guided Vehicle (AGV) Transport System for Hospital Logistics: Analysis and Optimization of Routes Through BIM and IFC Models

Buildings
Internal hospital logistics are inherently complex, characterized by the critical need to move essential materials with high efficiency, precision, and safety.
Beatrice Maria Toldo, Giulia De Cet, Carlo Zanchetta   +2 more
doaj   +1 more source

Controle supervisório modular local de sistemas de veículos auto-guiados [PDF]

, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-graduação em Engenharia de Automação e Sistemas, Florianópolis, 2010Este trabalho apresenta a aplicação da abordagem modular local da teoria de controle ...
Silva, Yuri Garcia
core  

On the Construction of an Edge-Based Remote Sensing Framework: The Applications on Automated Guided Vehicles and Drones

, 2022
To monitor the status and mission progress of automated guided vehicles (AGVs), most platforms typically obtained real-time data through a data acquisition system that is deployed on the end vehicles.
Fa-Shian Chang, Chen-Kun Tsung, Xiu-Yu Liu   +2 more
core   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source