Wireless sensor and actuator networks (WSANs) are heterogeneous networks composed of
many different nodes that can cooperatively sense the environment, determine an …

Background The foraging task is one of the canonical testbeds for cooperative robotics, in
which a collection of robots has to search and transport objects to specific storage point (s) …

Applications of large-scale mobile multirobot systems can be beneficial over monolithic
robots because of higher potential for robustness and scalability. Developing controllers for …

While Deep Neural Networks (DNNs) achieve state-of-the-art performance in many fields,
eg, object recognition, they rely on deep networks with millions or even billions of …

Online evolution of behavioural control on real robots is an open-ended approach to
autonomous learning and adaptation: robots have the potential to automatically learn new …

Many benefits of cloud computing are now well established, as both enterprise and mobile
IT has been transformed by cloud computing. Backed by the virtually unbounded resources …

Backed by the virtually unbounded resources of the cloud, battery-powered mobile robotics
can also benefit from cloud computing, meeting the demands of even the most …

A robotic swarm that is required to operate for long periods in a potentially unknown
environment can use both evolution and individual learning methods in order to adapt …

As our contribution to the effort of developing methods to make robots more adaptive and
robust to dynamic environments, we have proposed our method of 'minimal surprise'in a …

This paper explores a machine learning process for robotic swarms tasked with a non-trivial
problem in restricted environments. The effect of using a semi-stochastic action selector in a …