Training technologies & Learning Ecosystems

To back up the instructional approach to more effective and more efficient training, NLR carries out applied technical research and development in simulation and human performance data. These developments focus on interconnectivity between training devices, performance data collection and analysis, effective realism using artificial intelligence and virtual crew members and coaches. NLR has realised connectivity between pilots and fighter control, between simulated platforms, between live and simulated platforms and between human and computer generated forces. The combined approach involving instructional design and applied technical research result in enhanced accessible training devices, yielding more effective training opportunities. It also allows training for more complex and interconnected scenarios that are hard to achieve in a live environment. Finally it provides the possibility of performance measurements, a fundamental requirement for performance-based training.

A selection of technologies that NLR has prototyped, developed, and/or provided research for :

XR – VR and AR technology
Human Performance measurements
A.I. & Machine Learning
Simulator & Battlelabs
Instructor support tool for observation and data gathering
Learning Ecosystem architectures

Use cases

Training and Simulation

14 June 2022

R&D case: Virtual Cockpit training demonstrator

Training devices that fit your training needs often require large investments and are usually type -specific. There are currently no training devices that allow highly realistic interaction between the pilot and cockpit instruments, without the disadvantages associated with expensive high-end devices. The Virtual Cockpit bridges this gap by providing the technology to do just that: low-cost and high-fidelity training technology.