Energy-Efficient Collision-Free Machine/AGV Scheduling Using Vehicle Edge Intelligence
With the widespread use of autonomous guided vehicles (AGVs), avoiding collisions has become a challenging problem. Addressing the issue is not straightforward since production efficiency, collision avoidance, and energy consumption are conflicting factors. This paper proposes a novel edge computing...
Saved in:
| Main Authors: | Zhengying Cai, Jingshu Du, Tianhao Huang, Zhuimeng Lu, Zeya Liu, Guoqiang Gong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/24/8044 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections
by: Ziyi Lu, et al.
Published: (2024-12-01) -
An Artificial Plant Community Algorithm for Collision-Free Multi-Robot Aggregation
by: Zhengying Cai, et al.
Published: (2025-04-01) -
Multi-Vehicle Collision Avoidance by Vehicle Longitudinal Control Based on Optimal Collision Distance Estimation
by: Joon Ho Lee, et al.
Published: (2025-04-01) -
Research on AGV Path Planning Based on Improved DQN Algorithm
by: Qian Xiao, et al.
Published: (2025-07-01) -
Effective NSGA-II Algorithm for a Limited AGV Scheduling Problem in Matrix Manufacturing Workshops with Undirected Material Flow
by: Xuewu Wang, et al.
Published: (2025-03-01)