Do you remember the ESA Collision Avoidance Challenge last year? HRI-EU made 1st place by applying a variety of machine learning methods and data engineering for predicting the collision risk between satellites and space debris in low earth orbit.
The optimal software engineering, consisting of methods, tools, and processes, from research to development, is still an open topic. Agile processes and principles dominate current development projects. Research requires fast prototype iterations as proof of concept, and safety standards mostly require following the V-Model. How does all this fit together?
This spring, HRI-EU sponsored two calls for project of the Harari Institute’s “Research Incubation Awards” at Boston University. The program awards seed funds for new, ambitious Research efforts with cross-disciplinary focus, incubating novel ideas. In our HRI-EU special track, two proposals were awarded.
To prevent CODIV-19 from spreading, we started the smooth transition into Home Office for all our associates and students this week.
Scientists are curious people. The best way to spark new ideas is to embrace new people!
HRI-EU has expertise in a broad range of fields such as machine learning, data analysis, big data and risk prediction. Recently, a small and diverse team of HRI-EU colleagues took part in the ESA Collision Avoidance Challenge, which took place from 16 th October to 16 th December 2019.
HRI-EU is hiring
To advance our research in Cooperative Intelligence and Cyber-Physical Systems, we are looking for a team player to drive software engineering in our research projects.
EU Horizon2020 project VI-DAS successfully concluded – Prototype showcasing RiskMaps technology from Honda Research Institute Europe GmbH!
The Vi-DAS project was set up three years ago in the EU Horizon2020 framework to address improved RoadSafety by deployment of driver assistance systems and navigation aids in a socially acceptable and personalized manner.
Learning Machines? Empathic Machines? Curious Machines??
Take a look at our Honda Research Institute USA, Inc. colleagues’ Network of Excellence Research, investigating scientific questions on the way to realize Curious Minded Machines!
ECOLE (Experience-based COmputation:
Learning to optimisE) is an Innovative Training Network (ITN) for early stage researchers (ESRs) funded by the EU’s Horizon 2020 program. On 14. and 15. of October 2019, HRI-EU hosts the ECOLE project meeting in Offenbach.