Abstract: Autonomy for
navigation of robotic systems can be facilitated by
distributing control and decision-making among a
collection of relatively simple computational units.
Such an approach requires that decision mechanisms be
chosen to ensure goal-oriented interaction between such
units. Using soft computing techniques, the
computational units and decision mechanisms can be
formulated to embed intelligent robot behavior
supporting autonomous navigation and means for adaptive
modulated behavior in response a robot's perceived
environment. An architecture employing such techniques
within hierarchical control structures of subsystems
comprised of fuzzy logic controllers and knowledge-based
decision systems has proven effective in a number of
autonomous navigation systems. This talk presents the
underlying approach with focus on its utility for
autonomous navigation of mobile robots employing simple
modulated behaviors. Effects of exploiting the
flexibility inherent in its structure and in its
decision mechanisms are discussed including the
exhibition of behavioral interaction dynamics similar to
those observed in natural intelligent systems.
Applications of the approach to various types of mobile
robotic systems are highlighted, including related soft
computing applications to safe guidance for robotic
landing systems and to robotic teleoperation of mobility
Abstract: Like it or not, ranking is with us. We are in a paradoxical relationship with ranking: ranking is good because it is informative and objective; ranking is bad because it is biased and subjective and, occasionally, even manipulated. This lecture is based on a book is intended to help Readers understand the paradoxical nature of ranking procedures, and it offers strategies for coping with this paradox. Ranking begins with comparisons. We like to compare ourselves with others and determine who is stronger, richer, better, or cleverer. Our love of comparisons has led to our passion for ranking. Ranking is about becoming more organized, and we like the idea of being more organized!
The practice of ranking is studied in social psychology and political science, the algorithms of ranking in computer science. Are these algorithms reflect real objectivity or its illusion only? “Reputation management” admittedly attempts to modify the ideally objective image. We all know in this room that the challenging question for the future is how to combine human and machine intelligence.
Prof. Babu Sena Paul
Director, Institute of Intelligent Systems, University of Johannesburg,
Republic of South Africa
Prof. Babu Sena Paul received his B.Tech and M.Tech degree in Radio physics and Electronics from the University of Calcutta, India. He worked as supporting engineer at Philips India Ltd from 1999-2000. He received his Ph.D. degree from the Department of Electronics and Communication Engineering, Indian Institute of Technology Guwahati, India. He has attended and published over sixty research papers in international and national conferences, symposiums and peer reviewed journals. His research interests are in the area of Cyber Physical Systems, Wireless communication, channel modeling, MIMO systems, relay based communication, mobile-to-mobile communication, Machine Learning, Data Analysis etc. He has successfully supervised several postgraduate students and post-doctoral research fellows. He joined the University of Johannesburg in 2010. He has served as the Head of the Department at the Department of Electrical and Electronic Engineering Technology, University of Johannesburg from 2015 to March 2018. He is the currently serving as the Director of the Institute for Intelligent Systems, University of Johannesburg.
Abstract: We are at the initial phase of the fourth industrial revolution. The fourth industrial revolution is not about a single technology but a confluence of multiple technology. This talk begins with a brief introduction to the previous three industrial revolutions and their effects. Then we talk about some of the reasons behind the advent of the fourth industrial revolution. How the current revolution is likely to affect some of the sectors like banking, health, smart cities, transportation etc. This is followed by introducing some of the ongoing work done at the Institute for Intelligent Systems (IIS) in the area of the use of machine learning for waste separation and optimization of the mines