A New Collision Avoidance Approach for Automated Guided Vehicle Systems Based on Finite State Machines
Automated guided vehicles are transportation systems that are widely used in factories, warehouses, and distribution centers. It is of great importance to ensure the control and coordination of vehicles for safe and efficient transportation in multi-vehicle systems. In this study, a control strategy...
Saved in:
Main Authors: | Mustafa COBAN, Gokhan GELEN |
---|---|
Format: | Article |
Language: | English |
Published: |
Bursa Technical University
2024-12-01
|
Series: | Journal of Innovative Science and Engineering |
Subjects: | |
Online Access: | http://jise.btu.edu.tr/en/download/article-file/3924988 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Survey of Autonomous Vehicles’ Collision Avoidance Algorithms
by: Meryem Hamidaoui, et al.
Published: (2025-01-01) -
Fuzzy Inference-Based Adaptive Sonar Control for Collision Avoidance in Autonomous Underwater Vehicles
by: Kot Rafał
Published: (2024-12-01) -
Global and Local Awareness: Combine Reinforcement Learning and Model-Based Control for Collision Avoidance
by: Luman Zhao, et al.
Published: (2024-01-01) -
Assessment of Rear-End Collision Risk Based on a Deep Reinforcement Learning Technique: A Break Reaction Assessment Approach
by: Muhammad Sameer Sheikh, et al.
Published: (2025-01-01) -
Collision Avoidance for Maritime Autonomous Surface Ships Based on Model Predictive Control Using Intention Data and Quaternion Ship Domain
by: Hanxuan Zhang, et al.
Published: (2025-01-01)