Shrinand Thakkar's repositories
Object-Tracking-and-State-Prediction-with-Unscented-and-Extended-Kalman-Filters
Radar and Lidar Sensor Fusion using Simple, Extended, and Unscented Kalman Filter for Object Tracking and State Prediction.
Mobile-Robots-Autonomous-Navigation
Implemented Dubin's Curves and Rapidly Exploring Random Trees and RRT Star with branches as Dubin's Curves for path planning in Python and also simulated in Gazebo using ROS.
Reinforcement-Learning-using-OpenAI-Gym
Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.
Navigating-the-Simulated-DBW-MKZ-in-ROS
Navigating a real car prototype in ROS with GPS based localization and laser based obstacle avoidance
Probabitlity-and-Statistics-Project
Analyzed and studied different kinds of demographic factors that can affect the population in the United States
Navigating-the-Summit-Robot
Navigation of the Summit Robot, performing Mapping, Localization, Path Planning, and Obstacle Avoidance.
AI-for-Robotics
Robot Localization and Mapping using Various Filters
Brain_Computer_Interfaced_Autonomous_Driving
Self-Driving car prototype with a brain computer interfaced reward mechanism to help them consider individual modus operandi
Extended-Kalman-Filter
Extended Kalman Filter predicting the position of a Bug.
PID-Controlled-Mimicking-Robot
Controlling a servo motor with PID components which mimics another servo by looking at its calibrated web-cam image frames.
Customer-Churn-Prediction
Applied Neural Networks and Random Forest classification to predict Customer Churn and compared the results
Design-Patterns
Design Patterns in Python
Kobuki-Avoiding-Wall
A Kobuki robot useing its laser scan avoids a wall in front of it, in a ROS environment.
NodeJS-Course-by-Microsoft
NodeJS tutorials and assignments from the course by Microsoft