Computer Science & Engineering
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A Computational Intelligence Paradigm A Biologically Inspired Artificial Immunity for a Multi-Agent Mobile Robotics System
This book aims at improving the working of Robots using natural phenomenon that exist around us, one such technique is... more This book aims at improving the working of Robots using natural phenomenon that exist around us, one such technique is the Natural Immune System. The biological immune system is a great source of inspiration for developing intelligent problem-solving techniques. Like other biologically motivated approaches, Artificial Immune System (AIS) is also a rapidly emerging field. It is used in pattern recognition, fault detection, computer security and a variety of other applications in science and engineering. It is expected that Artificial Immune System will be able to detect faults and make recommendations to a high-level control system about corrective action – similar to that of a human adaptive Immune System which keep the body healthy. Most of the research carried out so far is based either on the innate or adaptive characteristics of the immune system, this book attempts to combine them together to imitate the natural immune system and applied on a Multi-Robot Scenario. Very few work using AIS as an approach to multi-robot environment has been carried out so far. A case based experiment on how the robots interact with each other to exist in harmony is presented in this text.
Robot Design as a Convenient Recycler of E-Waste
In the proceedings of "National Conference on sustainable Management of E-waste" Dec 2010
At the current growth rate of population in the world consumption and wastage has increased manifold. It is important... more
At the current growth rate of population in the world consumption and wastage has increased manifold. It is important that we find convenient means of recycling the waste from all sources to
keep our planet sustainable. Recycling of electronic products is a very promising area for design of robots. The electronic waste that humans recklessly discard can be utilized in such a manner that it can be marketed as end product by simply making useable. In other words the very waste materials that human dispose of can assist him in his day activities. There cannot be any better technology that exist till today then finding a mechanism to utilize this waste for assisting humans beings the very creator of this waste.
An Unmanned Aerial Vehicle as Human- Assistive Robotics System
IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) 2010
According to the American Heritage Dictionary [1], Robotics is the science or study of the technology associated with... more According to the American Heritage Dictionary [1], Robotics is the science or study of the technology associated with the design, fabrication, theory, and application of Robots. The term Hoverbot is also often used to refer to sophisticated mechanical devices that are remotely controlled by human beings, such as waldoes and ROVs(Remotely operated Vehicles), even though these devices are not autonomous. This paper describes a remotely control of a Hoverbot by installing a transmitter and receiver on both sides that is the PC and the Hoverbot respectively. Data is transmitted as signal or instruction via a infrastructure network which is converted into a command for the Hoverbot that operates at a remote site.
An Artificial Immune System Model for Multi Agents Resource Sharing in Distributed Environments
(IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 05, 2010, 1813-1818
Natural Immune system plays a vital role in the survival of the all living being. It provides a mechanism to defend... more
Natural Immune system plays a vital role in the survival of the all living being. It provides a mechanism to defend itself external predates making it a consistent system capable of adapting itself for survival in case of changes. The human immune system has motivated scientists and engineers for finding powerful information processing algorithms that has solved complex engineering tasks. This paper explores one of the various possibilities for solving problem in a Multiagent scenario wherein multiple robots are deployed to achieve a goal collectively. The final goal is dependent on the performance of individual robot and its survival without having to lose its energy beyond a predetermined threshold value by deploying an evolutionary computational technique otherwise called the artificial immune system that imitates the biological immune system
Artificial Immune Privileged Sites as an Enhancement to Immuno-Computing Paradigm
International Journal of Intelligent Information Technology Application (IJIITA) Acceptedfor publication
The immune system is a highly parallel and distributed intelligent system which has learning, memory, and associative... more The immune system is a highly parallel and distributed intelligent system which has learning, memory, and associative capabilities. Artificial Immune System is an evolutionary paradigm inspired by the biological aspects of the immune system of mammals. The immune system can inspire to form new algorithms learning from its course of action. The human immune system has motivated scientists and engineers for finding powerful information processing algorithms that has solved complex engineering problems. This work is the result of an attempt to explore a different perspective of the immune system namely the Immune Privileged Site (IPS) which has the ability to make an exception to different parts of the body by not triggering immune response to some of the foreign agent in these parts of the body. While the complete system is secured by an Immune System at certain times it may be required that the system allows certain activities which may be harmful to other system which is useful to it and learns over a period of time through the immune privilege model as done in case of Immune Privilege Sites in Natural Immune System.
Optimization of Path Finding Algorithm using Clonal Selection: Application to Traveling Salesperson Problem
International Journal of Computer Theory and Engineering (IJCTE), VOL 2, NO 2, April., 2010
The Clonal selection is a mechanism used by the natural immune system to select cells that recognize the antigens to... more The Clonal selection is a mechanism used by the natural immune system to select cells that recognize the antigens to proliferate. The proliferated cells are subject to an affinity maturation process, which improves their affinity to the selective antigens. The concept of Clonal selection is an important one to the success of the human immune system, and it provides an excellent example of the principles of selection at work. The positive and negative selection is another interesting mechanism in the immune system that works together to both retain cells that recognize the self peptides, while also removing cells that do not recognize any self peptides. In this paper, a cloning-based algorithm inspired by the Clonal and the positive/negative selection mechanism of the natural immune system is presented. The well known TSP is used to illustrate the approach. Simulations demonstrate that this approach generates good solutions to traveling salesman problem.
Dynamic Adaptation of the Sampling Radius for Dynamic RRTs
International Research Journal on Mechatronics Vol. 1 2009 Co Authored with Sandeep Gurung
Motion planning problem which considers the search of a robot path from an initial to a goal configuration has always... more
Motion planning problem which considers the search of a robot path from an initial to a goal configuration has always been of keen interest. Recent advances have influenced sampling-based motion planning algorithms to be used in disparate areas such as humanoid robotics, automotive manufacturing, architecture, computational geography, computer graphics, and computational biology. The technical approach is organized around three main areas: 1) the development of efficient nearest neighbor searching
techniques for spaces arising in motion planning; 2) the development of uniform sampling techniques on these spaces to allow resolution completeness in sampling-based planning algorithms; and 3) the development of guided sampling techniques for efficient exploration on such spaces. We discuss the dynamic adaption of RRT and have suggested theoretical results and analysis of its performance based on its tuning parameter (the radius of visibility) on the dynamically distributed domain formulated on each traversal.
Optimization of Autonomous Multi-Robot Path Planning and Navigation Using Swarm Intelligence
LEMAN 2009 Co Authored with Rebika Rai
This paper explores the behavior and optimization of a group of mobile agents or robots to find the shortest path... more
This paper explores the behavior and optimization of a group of mobile agents or robots to find the shortest path between the food and source, without any visible, central, active coordination mechanism. Feedback by the agent during traversal of the path causes more agent concentration on the path, thereby influencing the behavior of the other agents. Several obstacles are likely to be encountered in the course of this traversal. The objective of the agent is to find an appropriate solution to bring itself closer to the goal considering the cost, time and path availability. A typical case of Traveling Salesman Problem is incorporated to achieve a proper solution to this navigation problem wherein, an already visited node/location will not be visited again by the robot.
Engineering Artificial Immunity as a Man-Machine Interaction paradigm for Autonomous Mobile Robots
National Conference on Mechanism Science and Technology: from Theory to Application, NCMSTA’08
Impact of Information Technology on Sustainable Development
International Conference on Sustainable Regional Development from the perspective of North East India
An Intelligent Automatic Text Summarizer
Published by Springer as proceedings of First International Conference on Intelligent Human Computer Interaction
This paper describes an intelligent text summarizer that summarizes a given piece of text into three different... more
This paper describes an intelligent text summarizer that summarizes a given piece of text into three different summaries
based on three different algorithms. This summarizer uses statistical methods to summarize a text like considering the frequency of words, rare words etc. It then gives a meaningful title to the main text and finally selects the best summary out of a list of given summaries. This summarizer allots the writer a competence level (in written English) after analyzing the text like number of rare words used. The title generator of the summarizer gives a short title to the main text. Results obtained through experiments showed that it is indeed possible to determine the competence level of the writer from the text and proximity of the sentences play a vital role in selecting the best summary.
