Significant progress has been made in object tracking tasks thanks to the application of
deep learning. However, current deep neural network-based object tracking methods often …

This work describes a new model structure developed for prediction in Model Predictive
Control (MPC). The model has a multi-model structure in which independent sub-models are …

Environmental perception, which is crucial for robotic decision-making and execution
control, presents significant challenges in developing lightweight compact, low-cost, real …

The paper presents the organisation of a companion robot control system enabling external
interruption of its activities. The fundamental problem is: how should a companion robot act …

Mobile manipulators working in semi-structured human environments need smart vision
capabilities to perceive the world and interact with human operators. With this purpose in …

Identification of electric vehicles (EV) is important from the perspective of monitoring the
environmental, social, and governance (ESG) goals around sustainable transport choices …

Recent advances in plenoptic technology offer new opportunities in the development of
video surveillance systems. In this work we assess rotating large-baseline viewpoint …