This paper concerns about the automatic guided vehicle (AGV) trajectory planning scheme.
Nominally it should be formulated as an optimal control problem (OCP) and solved via …

This paper focuses on automatic guided vehicle (AGV) trajectory planning in the presence of
moving obstacles with known but complicated trajectories. In order to achieve good solution …

A motion planning method that integrates global planning and local control is proposed in
this paper, aiming to enable Automated Guided Vehicle (AGV) to navigate automatically in …

In this paper, a hybrid-intelligent real-time optimal control approach based on deep neural
networks (DNNs) for an automatic guided vehicle (AGV) with obstacles is studied. The path …

A centralized multi-AGV motion planning method is proposed. In contrast to the prevalent
planners with decentralized (decoupled) formulations, a centralized planner contains no …

In the field of AGV, a path planning algorithm is always a heated area. However, traditional
path planning algorithms have many disadvantages. To solve these problems, this paper …

Abstract Background Automatic guided vehicles (AGVs) have developed rapidly in recent
years and have beenused in several fields, including intelligent transportation, cargo …

A smooth and secure spatial path planning algorithm that integrates the improved ant colony
optimization with the corrective connected spatial search strategy is proposed, aiming at …

Path planning is a key component in motion planning for autonomous vehicles. A path
specifies the geometrical shape that the vehicle will travel, thus, it is critical to safe and …

In order to solve the path planning and real-time obstacle avoidance problems of unmanned
surface vehicles (USV), this paper proposes a global dynamic path planning algorithm …