Additive manufacturing (AM) is a key enabler and technological pillar of the fourth industrial
revolution (Industry 4.0) as it increases productivity and improves resource efficiency …

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …

Intelligent path planning is a significant tool for field of industrial robot. This field has
attracted the attention of numerous researchers due to the great market demands, broad …

In this paper a novel knowledge based fuzzy control system with Probabilistic Roadmap
(PRM) method is proposed for path planning and target seeking behaviour of mobile robot in …

Aiming to address the shortcomings of conventional algorithms in mobile robot path
planning, such as long paths, random sampling and high collision risk, a novel probabilistic …

Motion planning for multiple mobile robots must ensure the optimality of the path of each and
every robot, as well as overall path optimality, which requires cooperation amongst robots …

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

This paper presents an extensive study of different methods/approaches applied for mobile
robot navigation in static as well as in dynamic environments. Mobile robot navigation …

This paper proposes an explicit growth-based topology optimizer to generate optimal paths
for a point robot moving in complex environments filled with obstacles. The idea is inspired …

In Industry 4.0 compatible workshops, the demand for Automated Guided Vehicles (AGVs)
used in indoor logistics systems has increased remarkably. In these indoor logistics systems …