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chicken-disease-classification

controller-design-for-scara

Made a package to read the joint values from the Gazebo simulator, receive a reference value for the joints through a service, and publish joint efforts (continuously with high sampling rates) to make the joints move to these locations. The PD gains were tuned then to have fast convergence with minimal overshoot.

deep-learning-assignments

Assignments from WPI Course - Deep Learning

dynamic-obstacle-avoidance-for-social-navigation

forward-inverse-kinematics-for-scara

Create a SCARA robot for two revolute joints and one prismatic joint and then spawn it in the ROS-Gazebo environment. After this, forward kinematics was implemented to find the pose of the end effector and inverse kinematics that takes a (desired) pose of the end effector from the user and returns joint positions as a response.

lunar-lander

This repository contains the implementation of OpenAI Gym's LunarLander-v2 environment using Deep Q-Learning algorithm

motion-planning-algorithms-implementation

This repository comprises of the implementation of popular Motion Planning Algorithms.

plant-leaf-image-disease-detection-and-classification-using-unet-cnn

pythonrobotics

Python sample codes for robotics algorithms.

reinforcement-learning-assignments

These are the assignments and topics learnt in Reinforcement Learning.

restaurant-ratings-prediction-using-zomato-dataset

The project comprises of a restaurant dataset which goes through preprocessing and then all features are visualised using different graphs and then different ML models are used and compared. The details can be found in the notebook.

robot-control-assignments

This repository comprises of the assignments from the Robot Control course at WPI.

robust-trajectory-tracking-for-quadrotor-uav-using-sliding-mode-control

Wrote a script in Python to generate the quintic trajectories and design boundary layer-based sliding mode control laws for the z, φ, θ, ψ coordinates of the quadrotor to track desired trajectories zd, φd, θd, and ψd from the equations of motion for this quadrotor. A ROS node was then implemented to evaluate the performance of the controller design

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