Jayrajsinh Vajesinh Parmar

Project - Valet Parking - Developed an OpenAI gym environment of a car using a bicycle model and LIDAR sensor. - Every time simulation environment can generate new path and place obstacles randomly for training on the different driving scenario of obstacles. - Carried out research for features generation for path following task and came with own features. - Implemented proximal policy optimization using stable-baselines. - Successfully trained the model to follow path and avoid obstacles.

Project: Intelligent Driving Function - Obstacle avoidance algorithm for a car.

- Develop robotics simulator in Unreal Engine using C++. - Implement Deep learning with Nvidia Isaac SDK and Sim.

Project: Grasping an object using Deep Reinforcement Learning using a camera. Goal: Robot should pick a single industrial object from the clutter of industrial object. - Developed a simulator of UR10 robot with custom gripper in V-REP. - Implemented external script to control gripper in python. - Successfully trained the DQN model for grasping an single industrial object from clutter of industrial object.

1. Demonstrating Practical in Lab and Making Documentation 2. Supporting to teachers in class

Software Engineering and Programming Basics, Design of Software for Embedded Systems, Introduction to AI, Machine Learning, Software Platforms for Automotive Systems, Formal Specification and Verification

Digital Circuits, Signal and Systems, Digital Signal Processing, Microprocessors, Embedded Systems, C programming