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Python Programming - Assignment

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Added on  2020-04-15

Python Programming - Assignment

   Added on 2020-04-15

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PROPOSED RESEARCH TOPICS ARTIFICIAL LIFE WITH ROBOTICSWHICH CONSISTS OF PYTHON PROGRAMMINGPython Robotics with Stage Simulator use for Programming Intelligent Swarm RobotsThis will involve investigating the feasibility of controlling a set of robots using the common Python Robotics framework to program swarm intelligence as a cost effective alternative to real swarm robot programming. The Python Robotics programming environment will run on top of the Stage (Player) simulator Multi Document Summarization Optimization Framework Using Swarm Intelligence and Genetic Algorithms using PythonWill entail using Python to optimize the extraction of multi document summarization done through integer linear programming. The optimized summarization is based on the swarm intelligence approach and on the genetic algorithms. The aim is to use a simple and easy to implement Python based optimization algorithm that achieves results comparable to those possible through strong summarization baselines Swarm Intelligence with Python to Generate Sports Training Plans for Athletes Based on Existing Sporting ActivitiesThis will involve extending existing capabilities of swarm intelligence algorithms and evolutionary computation that have been developed to have human like capabilities in assisting athletes with their training. The project will add an extra feature to the artificial intelligent trainer that enables generate customized training plans that can be tracked using mobile tracking devices Achieving Adaptive Swarm Surveillance using Python Programming and Social Potential FieldsThe research will entail the development of an intelligence swarm algorithm that can detect intruders on land under surveillance. The system will be composed of several hundreds of robots governed by decentralized control rules; the motion of each swarm robot will be controlled using the Social Potential Field framework. The environment will be artificially simulated Determination of the Mechanical behavior of the Cornea using Particle Swarm Optimization with Python and Finite Inverse Element ModelingThe research will entail a demonstration of how the mechanical properties of the human cornea loaded with IOP (intra ocular pressure) can be modeled accurately through FE (finite element) modeling and based on the PSO (particle swarm optimization) principle. The PSO capacity will be
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