PERSIST: Autonomous Drones to protect Denmark’s Infrastructure
The PERSIST project aims to demonstrate how cutting-edge AI can be turned into practical solutions that protect people, the environment, and critical infrastructure while reducing costs, enhancing safety, and supporting a greener, more resilient energy supply.
Low-Code Programming of Spatial Contexts for Logistic Tasks in Mobile Robotics
Together with industrial partners, this project will investigate production scenarios where a machine can be operated by untrained personnel by using low-code development for adaptive and re-configurable robot programming of logistic tasks.
Re-use of robotic data in production through search, simulation and learning
A robot database with information on previous robot solutions can save manufacturing companies time and money and allow for smaller-scale companies to automate their production as well. This is the conclusion of the ReRoPro project. Although it sounds simple, there are several challenges involved with creating a robot database. With input from industry and international experts, the researchers have now gained a much better understanding of the challenges.
HERD: Human-AI Collaboration: Engaging and Controlling Swarms of Robots and Drones
Today, robots and drones take on an increasingly broad set of tasks. However, such robots are limited in their capacity to cooperate with one another and with humans. This project aims to address multi-robot collaboration and design and evaluate technological solutions that enable users to engage and control autonomous multi-robot systems.