Current projects

Ängen operates several innovative projects funded by the EU and Swedish national agencies. Some of the projects are at the concept stage, whilst others are close to market launch



Giraffe Plus is a complex system that can monitor activities through a network of sensors, both on the body in and around the home. The sensors can measure, for example, blood pressure or detect if someone falls.



The aim of the RobotEra is to develop, implement and evaluate the use of robotics in real conditions. The project will assess the technical effectiveness of the social and legal aspects for the user. We let people in real environments interact with complex systems of advanced robotics services to investigate whether these can increase the quality and efficiency of elderly care.



Reground – Relational symbol grounding through affordance learning The problem of symbol grounding attempts to associate symbols from language with a corresponding referent in the environment.Traditionally, research has focused on identifying single objects and their properties. Similarly, affordances learning in robotics tend to focus on single objects. These approaches often do not consider the full context of the environment, which contains multiple different objects and their properties as well as relationships among the objects. Furthermore, the state of the environment (e.g., which relationships are true, etc.) affords (i.e., permits executing) certain actions. This project hypothesizes that the grounding process must consider the full context of the environment in order to perform symbol grounding and to better adapt to a new language and a new environment.

This project aims to develop a novel approach to grounding that lifts it to the relational level, where an agent reasons about the relationships between multiple symbols in the language and between multiple referents in the environment and it is able to learn affordances that capture the relationship between objects and their properties, actions, and the environment. Learning such relationships will require combining information from different modalities such as language and perception. We will evaluate our approach with a robot that operates in a kitchen-like environment. The robot will be trained by being presented with a series of demonstrations involving inputs from multiple modalities (language and perception). Then, it will be evaluated by being placed in an unseen environment where it will be forced to adapt to its new setting and interpret, possibly unimodal input (i.e., only language or only perception), in order to correctly carry out the requested tasks.


Smart Older

”Smart Older” works to identify smart technical solutions to enable the elderly and disabled to stay longer in a home environment, while maintaining their independence and integrity. The project enables the testing of innovations and smart solutions / products that will make it easier for the elderly and disabled. Solutions and ideas should have their roots in the end users’ needs and / or problems encountered in everyday lives.

”Smart Older” is a collaboration between the Municipality of Örebro, Örebro County Council, Örebro University and Alfred Nobel Science Park.