[HTML][HTML] Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda
Autonomous mobile robots (AMR) are currently being introduced in many intralogistics
operations, like manufacturing, warehousing, cross-docks, terminals, and hospitals. Their …
operations, like manufacturing, warehousing, cross-docks, terminals, and hospitals. Their …
In-process monitoring in electrical machine manufacturing: A review of state of the art and future directions
Manual operations feature prominently in the manufacture of many electrical machines.
Even though high-volume electrical machine manufacture is dominated by automation …
Even though high-volume electrical machine manufacture is dominated by automation …
Leveraging autonomous mobile robots for Industry 4.0 warehouses: A multiple case study analysis
Purpose Despite its potential, warehouse managers still struggle to successfully assimilate
autonomous mobile robots (AMRs) in their operations. This paper means to identify the …
autonomous mobile robots (AMRs) in their operations. This paper means to identify the …
Flow-shop path planning for multi-automated guided vehicles in intelligent textile spinning cyber-physical production systems dynamic environment
Aiming at the path planning and decision-making problem, multi-automated guided vehicles
(AGVs) have played an increasingly important role in the multi-stage industries, eg, textile …
(AGVs) have played an increasingly important role in the multi-stage industries, eg, textile …
Enabling flexibility in manufacturing by integrating shopfloor and process perception for mobile robot workers
Robotic flexibility in industry is becoming more and more relevant nowadays, especially with
the rise of the Industry 4.0 concept. This paper presents a smart execution control framework …
the rise of the Industry 4.0 concept. This paper presents a smart execution control framework …
RCD: radial cell decomposition algorithm for mobile robot path planning
Finding the optimum path for mobile robots is now an essential task as lots of autonomous
mobile robots are widely used in factories, hospitals, farms, etc. Many path planning …
mobile robots are widely used in factories, hospitals, farms, etc. Many path planning …
Can genetic algorithms be used for real-time obstacle avoidance for lidar-equipped mobile robots?
Despite significant progress in robot hardware, the number of mobile robots deployed in
public spaces remains low. One of the challenges hindering a wider deployment is that even …
public spaces remains low. One of the challenges hindering a wider deployment is that even …
Human–robot interaction in industrial settings: Perception of multiple participants at a crossroad intersection scenario with different courtesy cues
In environments shared with humans, Autonomous Mobile Robots (AMRs) should be
designed with human-aware motion-planning skills. Even when AMRs can effectively avoid …
designed with human-aware motion-planning skills. Even when AMRs can effectively avoid …
Reinforcement learning for position control problem of a mobile robot
Due to the increase in complexity in autonomous vehicles, most of the existing control
systems are proving to be inadequate. Reinforcement Learning is gaining traction as it is …
systems are proving to be inadequate. Reinforcement Learning is gaining traction as it is …
Anomaly Detection Methods in Autonomous Robotic Missions
Since 2015, there has been an increase in articles on anomaly detection in robotic systems,
reflecting its growing importance in improving the robustness and reliability of the …
reflecting its growing importance in improving the robustness and reliability of the …