ROBOTAAR specialises in two main fields of AI; Robotics and Intelligent Human Interaction via Arabic NLP and Digital Twins interfaces, hence the name 'ROBOT And ARabic'. It employs and utilises the five trends in AI: Symbolic Representation (Ontology & Knowledge Graphs), Statistical & Machine Learning, Neural Networks & Deep Learning, Large Language Models, and Neuro-Symbolic AI (1 and 2). We provide solutions based on consultancy, evaluation, and training.

In the field of Robotics and HCI we aim to provide cutting-edge autonomous systems, sensing, control, planning, mission navigation, and multi-robots scenarios & communications. Ontologies have been developed for well-known robots: Husky Husky-ontology, Jackal Jackal-ontology, Spot Spot-ontology and DJI-Matrice. Here is the SPARQL-interface for the ontologies. Husky ontology was integrated with ROS and it is demonstrated in Clearpath Robotics and other research papers.

In the field of ArabicNLP we were among the first researchers to provide machine learning approaches to machine translation from Arabic to English back in 1990s. Currently we are developing systems to work with different Arabic dialects and MSA (Modern Standard Arabic). The Arabic Academy of Scotland provides the linguistic expertise to any work related to Arabic Languages Processing.

We are also keen to provide a robust platform for developing the skills of future engineers and scientists as well as raising student awareness and understanding of applied research and development in robotics and Intelligent Human Interaction.