Jun 5, 2024 · The study evaluates models, optimization benchmarks, and solution techniques employed for charting optimal courses for mobile robots. Both field researchers and ...
Jun 15, 2024 · In the first stage, a hybrid machine learning approach is devised to estimate maintenance times, including the improved complete ensemble empirical mode ...
Jun 12, 2024 · Each AGV is equipped with a balanced workload based on minimizing the total travel path. Then a heuristic algorithm, with two different rules, is then used to ...
8 days ago · Guiding the AGVs effectively relies on good communication between the automated guided vehicles (AGVs) and the factory's control system. This case study ...
Missing: Improving | Show results with:Improving
Jun 19, 2024 · In this study, we address the integrated scheduling problem involving quay cranes and IGVs in automated terminals. We construct a mixed-integer planning model ...
2 days ago · In this study, we investigate the performance of different learning algorithms for coordinating autonomous ground vehicles (AGVs) in the warehouse traffic ...
Jun 19, 2024 · I'm doing a scheduling problem, I want the workstations do the sequence in the table"ProductPriorty". But it doesn't follow the sequences i gave and i can't ...
3 days ago · This work is dedicated to the development of a multi- agent system for intelligent scheduling: to simulate, to analyze and to optimize used parameters to ...
Missing: Improving prediction.
Jun 1, 2024 · Ref. [29] proposes an improved artificial potential field method for autonomous underwater vehicle (AUV) route planning. Based on an improved artificial ...
6 days ago · Learn how Google MediaPipe helps you quickly develop and deploy machine learning models using an easy-to-use framework. | Encord.