ROBOTAAR specialises in two main fields of AI; Robotics and Intelligent Human Interaction via Arabic natural language and digital twins interfaces, hence the name 'ROBOT And ARabic' and Arabic Natural Language Processing. It employs and utilises the five trends in AI: Symbolic representation (via ontology & knowledge graphs), Statistical & Machine Learning, Neural Networks & Deep Learning, Large Language Models, and hybrid neurosymbolic integration (White Paper). We provide solutions based on consultancy, evaluation, and training.

In the field of robotics and human interaction, interfaces and digital twins we aim to provide cutting-edge autonomous systems, sensing, control, planning, mission navigation, and multi-robots scenarios & communications. Ontologies have been developed for two well-known robots; Husky Husky-ontology and for Jackal Jackal-ontology. Also an ontology for Spot Spot-ontology and DJI-Matrice. A SPARQL-interface for the ontologies. Husky ontology is integrated with ROS (Robot Operating System) and is demonstrated in Husky robot. Presentations and research papers related to this work.

In the field of ArabicNLP we were among the first researchers to provide machine learning approaches to machine translation from Arabic to English back i1990s. 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.