GLOBAL RESEARCH INSTITUTES

Sporadic access control and artificial Intelligence for future robotic systems

  • Sporadic access control and artificial Intelligence for future robotic systems

Sporadic access control and artificial Intelligence for future robotic systems

Principal Supervisor: Dr Youngwook Ko

Second Supervisor: Dr. Emi Garcia-Palacios

Sporadic access control and artificial Intelligence for future robotic systems

+ Project Description

As manufacturing and robotic applications become more sophisticated, the need for autonomous systems that can operate intelligently with minimal human interventions increases. For a large-scale intelligence, a large number of machines/sensors in- and around industrial energy and robotic environments is deployed (e.g., at least 200 sensors per mobile robot). Current research has attempted to improve the latency and reliability of wireless network in today and future machine type communications (MTC) standards (e.g., see Zigbee (IEEE 802.15.4), Bluetooth (IEEE 802.15.1), 3GPP’s M2M), considering both cellular systems and non-cellular applications. However, autonomous control at the wireless connectivity of many such systems is opaque and far behind the industrial requirements. The network disruption caused in dynamic robotic environments needs special attention.

This PhD programme will investigate various features for autonomous multiple access control (a-MAC) algorithms with sporadically connected-devices. For this, the project will develop new machine learning techniques to be applied to both the Physical and upper layers of wireless robotic-sensing networks. For example, a variety of machines within an electric vehicle coexist being interferer to other and interfere by other, simultaneously. This project aims to develop opportunities for autonomously integrating the pricing of local machine resource and the cognitive cooperation principles so that a full robotics autonomy can be enabled, taking into account fidelity-flexibility trade-offs ascertained at various system environments.

+ How to Apply

Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/

+ Contact Details

Supervisor Name: Youngwook Ko
Address:

Queens University of Belfast
School of EEECS
Centre for Wireless Innovation (CWI)
NI Science Park
Queens Road,
Belfast,
BT3 9DT

Email: y.ko@qub.ac.uk
Tel:

+44 (0)28 9097 1772