Generative Adversarial Networks (GANs) and AI Models for Contemporary Robotics Systems
About
There has been a vast development of machine learning algorithms over the last few years, specifically over the late four years. Lately deep learning models have been applied to a wide spectrum of engineering and non-engineering domains. Such applications revealed potentials of such AI related domains and agents. This is due to the potential of such models. These gigantic models have definitely explored large number of applications for the robotics sector. Within this talk we shall explore some recent developments, studies, and research frameworks for robotics domains. Given this, using the state-of-the-art machine to learn expensive algorithms in terms of computation and data collection, or limited to a local approximation for a specific task or routine, has been of vital importance. The talk will present some novel approaches in using a series of modified Generative Adversarial Networks (GANs). Namely, the use of Conditional GANs (CGANs), Robot Approach Behaviours, Least Squares GANs (LSGANs), Bidirectional GANs (BiGANs) and Dual GANs (DualGANs) for robotics applications. This would involve the kinematic, dynamics, control aspects, Robot Approach Behaviours, EEG related robotics interface, the vision AI related to robotics, and the use of these models for enhancing the intelligence of contemporary robotics systems.
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Continuing Professional Development
This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.
03 Nov 2025
4:00pm - 5:00pm
Organiser
- Robotics and Mechatronics TN
Speakers
Professor Ebrahim A. Mattar
Professor of Cybernetics and Robotics - University of Bahrain
Professor Ebrahim A. Mattar, professor of Cybernetics and Robotics at University of Bahrain (lecturing for Robotics, Control Engineering, Computational AI). He has received the B.Sc. in Electrical Engineering (Bahrain University-1986), for M.Sc. in Electronics (Southampton University-1989), Ph.D. (Reading University-1994, thesis written under professor K. Warwick) supervision, was also awarded of the Gulf Executive Program (University of Virginia, Darden School of Business-2000). His research and publications frameworks have been focused on computational AI, robotics, and biomedical engineering. Worked on a few research projects, including the face neural recognition, the King Saud University (KSA) Robotics Project during (2010-2014), the Robotics Project at UoB and the CERN project related to UoB. He has supervised several thesis-projects, and is currently working on multi-dimensional Brainwaves, biometric data mining, decoding and learning robotics control and intelligence. Editor board member of a few journals and conferences. He has been awarded several awards, including University of Bahrain, best research in 2001, 2002, 2006, 2007, 2017 UoB Hackathon award, and an IET award during 2018. He is a member of several professional bodies, MIET, SMIEEE, IFAC affiliate, and Bahrain IET Local Network H. Chair; IEEE Control Society, IEEE Robotics and Automation Society (RAS), affiliate member of IFAC, an active IET member, IET– Bahrain Network Honorary X-Chair, X-member of IET EMEA Regional Board, X-member of IET Knowledge Program Advisory, and currently member of the IET TNCC. He has been elected as Bahrain honorary chair for the IEE (earlier) and IET for two sessions; Responsible body for eight IET colloquiums-forums held in Bahrain held during 2008 till 2016. In addition, a responsible body for major symposiums-conferences. Served as the organizing head for the International Conference on (Millennium Dawn in Training and Continuing Education), 16-18th of April 2001. Served as the technical committee head member of IET ICIS-2008 International Conference on Intelligent Systems and responsible body for eight annual IET symposiums-colloquiums in Bahrain. Organized vast number of IET events in Bahrain since 2006 till today. Responsible body for the Annual IET Smart Cities Symposium and the Annual IET-GCC Robotics Challenge. Prof. Mattar has authored many journals publications, conferences, chapters of book, and authored four complete books (three) in Arabic and (one) in English related to Robotics. Computational Skills: (open CV library), Dynamic Programming, (OOP), Optimization, Mathematica, MatLab, Python, LabView, NAG and LaTex.
Reasons to attend
CPD
Expert international speaker