Trajectory Prediction of Humans in Factories and Warehouses with Real-Time Locating Systems
- Resource Type
- Conference
- Authors
- Locklin, Andreas; Ruppert, Tamas; Jakab, Laszlo; Libert, Robert; Jazdi, Nasser; Weyrich, Michael
- Source
- 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Emerging Technologies and Factory Automation (ETFA), 2020 25th IEEE International Conference on. 1:1317-1320 Sep, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Remotely guided vehicles
Navigation
Conferences
Collaboration
Real-time systems
Production facilities
Energy efficiency
Real-time locating system (RTLS)
ultra-wideband
indoor positioning system
trajectory prediction
AGV
human-robot collaboration
- Language
- ISSN
- 1946-0759
Flexible intralogistics systems use automated guided vehicles (AGV) to transport goods. In assembly and warehouses, AGVs and human workers often work side by side. For optimal navigation, AGVs must consider human movement and estimate future positions of workers. Using real-time locating systems (RTLS) to improve human-robot collaboration enables more energy-efficient and safer AGV wayfinding strategies. This paper gives a summary on the topics RTLS, AGV wayfinding and trajectory prediction and introduces the momentum-based approach to predicting future worker positions in factories and warehouses. The results show that ultra-wideband-based RTLS are very well suited for trajectory prediction in the production sector.