Results 71 to 80 of about 1,355,045 (248)

Robust localisation of automated guided vehicles for computer-integrated manufacturing environments

South African Journal of Industrial Engineering, 2013
As industry moves toward an era of complete automation and mass customisation, automated guided vehicles (AGVs) are used as material handling systems.
Dixon, R. C., Bright, G., Harley, R.
doaj   +1 more source

Traffic management and control of automated guided vehicles using artificial neural networks [PDF]

An industrial traffic management and control system based on Automated Guided Vehicles faces several combined problems. Decisions must be made concerning which vehicles will respond, or are allocated to each of the transport orders.
Barbosa, Manuel Romano dos Santos Pinto
core  

Paving the roadway for safety of automated vehicles: An empirical study on testing challenges

, 2017
The technology in the area of automated vehicles is gaining speed and promises many advantages. However, with the recent introduction of conditionally automated driving, we have also seen accidents. Test protocols for both, conditionally automated (e.g.,
Henrik Eriksson, Schröder, Jan,, Schroder, J., Alessia Knauss, Berger, Christian,, Eriksson, Henrik,, Eriksson, H.,, Knauss, Alessia,, Knauss, Allesia,, Knauss, Alessia, Berger, Christian, Christian Berger, Eriksson, H., Schroder, J.,, Jan Schroder   +14 more
core   +1 more source

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

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

World Electric Vehicle Journal
With the electrification and connectivity of vehicles in transportation, traditional vehicles with single drivetrains are being replaced by pure electric or hybrid electric vehicles (HEVs).
Qifeng Qian, Ronghui Xiang, Xiaohua Zeng, Dafeng Song, Xuanming Zhang   +4 more
doaj   +1 more source

Driver interaction with automated vehicles in real traffic

, 2022
While automated vehicles are expected to have a great positive impact on traffic safety, the interaction between manual driven vehicles and automated vehicles remains unknown until their introduction in real traffic.
Streubel, Thomas,, Kovaceva, Jordanka,
core  

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

Literature review on the acceptance and road safety, ethical, legal, social and economic implications of automated vehicles

, 2017
This deliverable summarizes the findings of an extensive literature review on the acceptance, behavioural intentions, road safety, as well as ethical, legal, social (ELSI) and economic considerations in the scope of vehicle automation.
Kraetsch, Clemens, Andersson, Jan, Strand, Niklas, Patten, Christopher, Johnsen, Annika, Takman, Johanna   +5 more
core   +1 more source

Simulation analysis of models for estimation of empty travel time of vehicles in non-automated material handling systems [PDF]

FME Transactions, 2018
In designing or redesigning a facility like manufacturing plant or warehouse, an integral part is a proper selection of material handling system. Despite large alternatives, including automated material handling systems with conveyors or automated guided
Dukić Goran, Opetuk Tihomir, Cajner Hrvoje, Jakovljević Matko   +3 more
doaj  

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