Explore-projekter

Strategiske, tværgående forskningsprojekter, ledet af DIREC-forskere – og ofte i samarbejde med eksterne samarbejdspartnere – har til formål at levere værdi for både den videnskabelige verden og samfundet.Explore-projekterne er små agile forskningsprojekter med det formål at screene nye ideer.

Explore project

Cyber-Physical Systems with Humans in the Loop

Constructing cyber-physical systems with humans in the loop is important in many application areas to enable a close co-operation between humans and machines. However, there are also many challenges to overcome when constructing such systems with current software technologies and human-centered design approaches.

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Explore project

Re-Use of Robotic-data in Production through search, simulation and learning

En robotdatabase med information om tidligere robotløsninger kan spare produktionsvirksomheder for tid og penge og give mindre virksomheder mulighed for også at automatisere deres produktion. Selvom det lyder enkelt, er der flere udfordringer forbundet med at skabe en robotdatabase. Med input fra industri og internationale eksperter har dette afsluttede projekt fået en meget bedre forståelse af udfordringerne. Næste trin er at udvikle software, der giver mulighed for genbrug af robotdata. 

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Explore project

Ergonomic & Practical Effect Systems

Effect systems are currently a hot research subject in type theory. Yet many effect systems, whilst powerful, are very complicated to use, particularly by programmers that are not experts at type theory. Effect systems with inference can provide useful guarantees to programming languages, while being simple enough to be used in practice by everyday programmers.

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Explore project

Hardware/software Trade-off for the Reduction of Energy Consumption

Computing devices consume a considerable amount of energy. Implementing algorithms in hardware using field-programmable gate arrays (FPGAs) can be more energy efficient than executing them in software in a processor. This project explores classic sorting and path-finding algorithms and compare their energy efficiency and performance when implemented in hardware.

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Explore project

Explainable AI

Artificial Intelligence brings the promise of technological means to solve problems that previously were assumed to require human intelligence, and ultimately provide human-centered solutions that are both more effective and of higher quality in a synergy between the human and the AI system than solutions that are provided by humans or by an AI system alone.

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