A review of path-planning approaches for multiple mobile robots

S Lin, A Liu, J Wang, X Kong - Machines, 2022 - mdpi.com
Numerous path-planning studies have been conducted in past decades due to the
challenges of obtaining optimal solutions. This paper reviews multi-robot path-planning …

Optimized-weighted-speedy Q-learning algorithm for multi-UGV in static environment path planning under anti-collision cooperation mechanism

Y Cao, X Fang - Mathematics, 2023 - mdpi.com
With the accelerated development of smart cities, the concept of a “smart industrial park” in
which unmanned ground vehicles (UGVs) have wide application has entered the industrial …

Railway Scheduling Using Boolean Satisfiability Modulo Simulations

T Kolárik, S Ratschan - International Symposium on Formal Methods, 2023 - Springer
Railway scheduling is a problem that exhibits both non-trivial discrete and continuous
behavior. In this paper, we model this problem using a combination of SAT and ordinary …

[PDF][PDF] A Review of Path-Planning Approaches for Multiple Mobile Robots. Machines 2022, 10, 773

S Lin, A Liu, J Wang, X Kong - 2022 - opus.lib.uts.edu.au
Numerous path-planning studies have been conducted in past decades due to the
challenges of obtaining optimal solutions. This paper reviews multi-robot path-planning …

Intelligent Hybrid Approaches for Mobile Robots Path Planning

S Lin - 2023 - opus.lib.uts.edu.au
The practical applications of mobile robots are widely implemented in various areas, such as
education, industry, environment, and civil applications. The requirements of robots' …

Formal Verification for Multi-Agent Path Execution Under Stochastic Environments

X Wang, J Liu, C Nugent, I Cleland, Y Xu… - Available at SSRN … - papers.ssrn.com
In recent years, the multi-agent pathfinding problem has gained significant attention in the
field of artificial intelligence research. The problem involves selecting the optimal path for …