The goal of the project is to create an integrated and easily configurable solution for personalizing assistive robots (for people with special needs) and social robots (for customers), a solution based on advanced artificial intelligence techniques that can give robots a cognitive and autonomous character.

The objective of the project is to develop computational vision methods to solve a wider and more sophisticated range of driver assistance tasks, to create intelligent modules for “Hands-off driving” and “Automated driving” and a prototype system that will be tested on a semi-autonomous electric vehicle.

The goal of the project is to create a support platform for the semantic definition/representation and easy and efficient management of data that becomes context in personalized robotic assistance scenarios and ADAS (Advanced Driving Assistance Systems).

The objective of the project involves the development of a series of scenarios for several micro-worlds and Romanian language processing technology for situational dialogues in these micro-worlds.

The objective of the project is to create a support platform for collecting data from sensors of robot support systems (e.g. IoT), providing processing and learning mechanisms combining Cloud models with devices close to the collection source, providing support libraries for intelligent / semantic data processing, and finally developing Web services focused on economic agents interested in using data stored at the platform level.