• Developed an autonomous fruit harvesting robot using Deep Learning and Computer Vision. 

• Implemented various state of the art algorithms for 6D pose estimation and Fruit detection and localization.

• Worked on simulating the robot in Gazebo and interfacing it with ROS.

• An Inter disciplinary project aimed at building a fully functional prototype of the Mars rover.

•  Headed the autonomous navigation team which focused on GPS based point to point autonomous navigation.

• The entire autonomous system was built by using ROS,openCV and python.

• The Intel RealSense camera was used for visual perception and the Nvidia Jetson TX2 was used for on board processing of data.

• Aimed at building a self driving car using a full scale Mahindra Reva electric vehicle.

• One of 12 teams selected for nationwide Mahindra Driverless Car Challenge.

• Implemented lane detection and Imitation learning with data augmentation

• Experimented various Deep Neural Network models for Traffic Sign Detection.

• Aimed at simulating an autonomous mobile robot which would be able to navigate through household environments.

• Simulated and spwaned the turtlebot model in Gazebo and interfaced it with ROS.

• Implemented SLAM using the navigation stack in ROS for obstacle avoidance.

• Inspired by the Duckietown project to develop a low cost,ROS-integrated Mobile Platform to teach Mobile Robotics.

• Developed codebase for PID Control, Object Detection, Lane Detection etc.

• Developed an AI based Tic Tac Toe game in which a hard coded agent attempts to block the user.  

• Algorithm performed at a 99% accuracy in beating the human player.