Autonomous systems, immersive technologies and human-robot collaboration.
12TH Conference On Learning Factories (CLF) 2022: Optimising virtual reality training in industry using crowdsourcing.
I was born in Germany and lived there for the majority of my life. Since I was eight years old, I knew that I wanted to become a Computer Scientist. Therefore, there has only ever been a rather vague line between my career and my passions.
In the last four years, I split my time between working at a human-aid organisation (Engineers without borders, Germany), founding a start-up to leverage potentials of autonomous systems in logistics, studying Computer Science at the TU Darmstadt, researching with University of Cambridge’s Cyber-Human Lab (CHL) on immersive technologies and dancing salsa with friends.
In every step of this, I have tried to work towards a fair, more sustainable world, and I’m glad to be part of a cohort with the same ambitions.
I founded a start-up to make the capabilities of the fourth industrial revolution accessible to a broader range of people. And now I’m joining AgriFoRwArdS to make my contribution towards the fourth agricultural revolution.
I’m looking forward to ambitious projects with high impact, solving challenges with modern methods and joining our passionate cohort in an – for me – uncharted environment.
Subsequently, I’ll take the developed expertise to the CHL, where I’ll complement prior findings as part of my PhD.
Augmenting autonomous systems to improve agronomy effectiveness
Current agronomy mostly relies on heuristics yielding often inaccurate and ineffective decision making processes. Leveraging the available information of autonomous systems (AS) is an integral part of more effective decision making in agronomy. A literature review and observation study exposed the challenges of agronomists: having distributed responsibilities but facing intransparentAS that prevent effective decision-making. Based on the qualitative insights, we synthesised guidelines and create a virtual environment enabling agronomists to prioritise their actions globally and make effective decisions through interactive systems for remote analysis and evaluation of fields.
Title to be confirmed