Machine learning has become an important research area in many domains and real-world
applications. The prevailing assumption in traditional machine learning techniques, that …

Intelligent systems are increasingly part of our everyday lives and have been integrated
seamlessly to the point where it is difficult to imagine a world without them. Physical …

With the advent of 5G commercialization, the need for more reliable, faster, and intelligent
telecommunication systems are envisaged for the next generation beyond 5G (B5G) radio …

Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) has been
gaining considerable attention in HRI research in recent years. However, the HRI community …

Navigation in forest environments is a challenging and open problem in the area of field
robotics. Rovers in forest environments are required to infer the traversability of a priori …

There has recently been an explosion of work in the humanrobot interaction (HRI)
community on the use of mixed, augmented, and virtual reality. In this paper, we present a …

Practical learning-based autonomous driving models must be capable of generalizing
learned behaviors from simulated to real domains, and from training data to unseen …

Simulation data can be utilized to extend real-world driving data in order to cover edge
cases, such as vehicle accidents. The importance of handling edge cases can be observed …

Recent work has developed value functions that can recognize emergent swarming
behaviour and distinguish it from random behaviour. To date, this work has been done in …

Active research in autonomous unmanned aerial vehicles (UAVs) seeks to combine the
agility of Proportional-Integral-Derivative (PID) systems for low-level control with the …