Obstacle Avoidance/ Path Finding Using Robotino
In this project we integrated Robotino with MATLAB. Basic purpose was to move Robotino in Robotino View environment such that whenever it comes across any obstacle (wall, blocks or cylinder) , it should classify that as either wall or block or cylinder. If it detects a wall, then it should turn around and then continue moving. If it is a block or cylinder, then it should navigate its way around it and continue moving towards destination. User only sets the initial position of the robot and gives it an initial push. After that, it will navigate its way itself, using Neural Network Artificial Intelligence and path finding.
Having more than 6 years of experience in machine learning, image processing and computer vision I believe that I can do any task related to ML. I have used almost all algorithms for ML like pca, lbp, lpq, hog, surf, sift etc for features extraction, KNN, decision trees, naïve bayes, random forests, svm, Neural Networks, K-means for classification, clustering and predictive models. I have worked on different Python libraries and frameworks like Tensorflow, pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup etc I have used AWS for deploying different algorithms over web and used Flask for making rest Apis. I have also worked on many internet of things related projects in which I integrated machine learning models with iot. I have used node.js and Mqqt for iot related projects. I can make web, desktop and mobile applications related to these fields. Do you need to discuss my previous projects? Just ping me! Just inbox your requirements and consider your work done!!