Ing. Ansab Sheikh

Development / Fine-Tuning of Machine Learning algorithms such as SVM, Regression, Logistic Regression, clustering, and Deep Neural networks to perform computer vision-related 3D detection tasks in Camera and LiDAR. Designing the production flow and configuring the Active learning / Online learning paradigm. Dockerizing the developed algorithms for deployment in the production environment.

The main task of this project was to mimic the decisions taken by a local path planner using Deep Neural Network.  Data acquisition of laser scan and commanded velocities of local trajectory planners while running mobile robots in the simulation environment Gazebo. Implemented a deep neural network technique to model the relationship between input data (laser scan sensor readings and goal points) and output data (velocity commands) of the path planning algorithm.

During my internship period I worked on ARM Cortex M4 microcontroller based projects.

THESIS: Master thesis: Vehicle Detection and Pose Estimation Using Deep Neural Networks Learning In Robotics, Computational Intelligence, Mobile Robots, Modelling and Control Of Robotic Manipulators, Fundamentals of Robotics, Control Theory And Applications, Advanced Engineering Mathematics

THESIS: Lighter Than Air Autonomous Blimp AirShip