The research group Intelligent Robotics figures out how robots can be designed to interact in the best way with humans, other robots, and the environment.
Our current main track of research is Human-Robot Interaction, and we coordinate/coordinated several EU projects in that area:
Our research contributions in these projects are in the areas of sensory-motor learning , Learning From Demonstration   , behavior/intent recognition  . A recent field of activity concerns Understandability in robotics  , i.e. how robots should communicate the contents of their artificial minds to interacting humans. In this work we combine natural language understanding, dialogue management, intention recognition, and task planning.
For many years we worked intensively in the area of Field Robotics, with research on automation in forestry. In particular we developed tehcniques for autonomous forest machines, with generous financial support from the Kempe Foundations. In the FP7 project CROPS we developed robots for harvesting and spraying of fruit and vegetable crops, and continued in the H2020 project SWEEPER, where the consortium with joint efforts succeeded in developing the first sweet-pepper harvesting robot demonstrated in green house environments.
Ahmad Ostovar has developed methods and algorithms for automatic detection and recognition of objects.
The Kempe Foundations have issued a grant for 10 postdoctoral fellows in AI and software.
SEK 6 million for AI project on digital companions.
Jakub Krzywda develops models to control cloud power infrastructures consumption and hosted applications.
STAR-C will use innovative digital technology to promote healthier behaviours in the population.