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Talk on Multi-Robot Vision

26 Apr 2013

Public Lecture on Multi-Robot Vision - "Robots learning how to see"

The Department of Systems and Control Engineering is organizing an open public lecture by

Ing. Raphael Grech M.Phil(Melit.) B.Eng(Hons)
Faculty of Computing, Information Systems and Mathematics
Kingston University, London, United Kingdom.

Date: Friday 17th May, 2013
Time:11:00 ~ 12:00
Venue: Room EB6, Engineering Building, Msida Campus

All interested persons are cordially invited to attend.




It is expected nowadays that robots are able to work in real-life environments, possibly also sharing the same space with humans. These environments are generally considered as being cluttered and hard to train for. Methods for the visual exploration and automatic interpretation of an uncharted environment by a team of robots are presented. The main aim of this research is to develop a model capable of handling visual information so as to retain information that is relevant to whatever task is at hand and eliminate superfluous information, trying to mimic human performance. The aim is for robots equipped with a camera to be able to automatically recognize previously learnt features, such as faces and known objects, whilst also learning other new information. Salient information extracted from the incoming video streams is used to select keyframes to be fed into a visual memory thus allowing the robot to learn new interesting areas within its environment. The problem of creating visual memories of salient objects arising in a certain unknown environment and the ability of recalling them at a later time is addressed. Whilst operating in its environment, each robot becomes an expert of its area however, they possess enough knowledge about other areas to be able to guide users sufficiently till another more knowledgeable robot takes over. Due to the initial lack of knowledge, small sets of visual memory classes need to evolve as the robots acquire visual information. Keeping memory size within limits whilst at the same time maximising the information content is one of the main factors to consider.



Ing. Raphael Grech, (MPhil in Mobile Robotics, 2008, University of Malta, B.Eng (Hons.), in 2001, University of Malta, MIEEE) is currently a Doctoral Researcher on Robot Vision in the Faculty of Computing, Information Systems and Mathematics at Kingston University, London, UK. Ing. Grech is an Electrical and Electronics Engineer by profession and has a vast experience in the Automotive and Electronic manufacturing industry especially in the fields of product testing, design and machine automation. Ing. Grech has also published several papers and co-authored book chapters on mobile robotics and vision. His research interests are in the fields of computer vision, machine learning, intelligent multi-robot systems and man-machine interaction. 

Modelling and Predicting Space-time Behaviour

25 Sep 2012

Public Lecture on Modelling and Predicting Space-time Behaviour from Large Data Sets

The Department of Systems and Control Engineering is organizing an open public lecture by

Dr. Andrew Zammit Mangion
School of Geographical Sciences
University of Bristol, United Kingdom.

Date: Monday,1st October 2012
Time:16:00 ~ 17:00
Venue: Room EB1, Engineering Building, Msida Campus

All interested persons are cordially invited to attend.



Spatiotemporal point processes and the Afghan War Diary

In what may be termed a "data deluge", today we have at our disposal huge amounts of data related to a variety of events, from spatially resolved internet click rates to logs of violent events in conflict zones. These large data sets are usually available as a set of space-time coordinates denoting the locations in which events have taken place, but generally do not contain detailed or reliable accounts of what the actual events were - we know the "where" and the "when" but not the "what" and the "why". In addition, these data sets are usually riddled with spurious events or "noise" which need to be filtered out. Can we nonetheless exploit this information for retrospective analysis of some phenomena or indeed even for prediction and control?

In this talk I will give an overview on both the technical aspects and the applications of these data sets and discuss ways in which we can exploit them for our purposes. As a case study I will show, using the Wikileaks data, how we can obtain reliable descriptions of the ongoing war in Afghanistan solely from the space-time behaviour of previous events. The method is used to extract important spatial characteristics of the war such as conflict escalation and conflict "volatility" - the work, which has received considerable interest from organisations worldwide, is being seen as a tool which may be used to further safeguard NGO personnel in conflict zones and help anticipate environments in which further relief might be required.

Talk on Mechatronics Education and Research

20 Sep 2012

The Department of Systems and Control Engineering is organizing a public talk on Monday 24th September 2012 from 10:00am to 11:00am in room EB7, Engineering Building on

Mechatronics Education and Research at the University of Technology in Brno




Prof. Robert Grepl, Ph.D

Department of Mechatronics, Faculty of Mechanical Engineering, Brno University of Technology, Czech Republic.


All interested persons are cordially invited to attend.



Prof. Grepl will present the educational and research activities in the field of Mechatronics at the Faculty of Mechanical Engineering of Brno University of Technology (BUT).


The talk will touch on the following aspects: 
  • Education: 
teaching of Mechatronics at BUT

Rapid Control Prototyping using MF624 

real educational models like helicopter & pendulum

  • Laboratory Equipment: 

dSpace, National Instruments, etc. 

  • Recent Projects

cooperation with industry (Skoda Auto, Bosch, UNIS, Zdas, Alucast) 

Framework EU project ESPOSA (RCP, HIL for FADEC for small aircraft, code generation from Simulink, etc.)

Talk on Nonlinear System Modelling and Control

13 Jul 2012

The Department of Systems and Control Engineering is organizing a public talk on Thursday 19th July from 10:00am to 11:00am in room EB1, Engineering Building on:

Neural and Genetic Approaches to Modelling and Control of Nonlinear Systems: applications in process engineering


Prof.Dr. Javier Fernandez de Canete

Department of Systems Engineering and Automation, University of Malaga, Spain.

 All interested persons are cordially invited to attend.


Artificial neural networks and fuzzy systems have been applied successfully to modelling and adaptive control of non-linear systems. On the other hand, genetic algorithms are applied when optimized performance with constraints is also required.  In this talk applications to distillation control and glycaemic regulation for diabetes are presented to show the potential of these artificial intelligence tools in Process Engineering and Biomedical applications.


ROV Exhibition

14 Mar 2012


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Funding Award for BrainApp
CBC awarded research funding under the FUSION Technology Development Programme (TDP) 2017

Closing date for MSc course applications


The deadline for late applications for the MSc in Signals, Systems and Control is the 31st August 2017. Click here for more information.

TVM news feature


News feature on the work currently being carried out by our PhD student Ms Rachael Nicole Darmanin, supervised by Dr Ing. Marvin Bugeja. Link here.

PhD scholarships at University of Sheffield, UK


Please click here for more information.

Postdoctoral Position in Robotics and Control


Postdoctoral Position at the University of Le Havre in France. Click here for more information.

MSc by Research - Call for Expression of Interest


The Department of Systems and Control Engineering and the Centre for Biomedical Cybernetics are seeking students who are interested in pursuing studies leading to an MSc in Engineering degree (mainly by research) on any of the topics detailed here.

Postdoctoral Research Position in EEG


[CLOSED] Postdoctoral Research Position in EEG Signal Processing with the Centre for Bionedical Cybernetics. Click here for more information.


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