Nishant Gajjar

• Researched and developed Human Intention Recognition techniques for industrial assembly tasks using a type of Recurrent Neural Network (PyTorch). • Created and implemented a task planner to enable better collaboration between Humans and Robots using Q-Learning. • Worked and assisted on Human-Robot-Collaboration scenario for a major aircraft riveting process using cobots (UR10). • Designed and implemented algorithms for pose estimation of a mobile robot using homography and two cameras.

- Researched aspects of feasibility and efficacy of unmanned aerial systems such as rescue drones to be used in human rescue operations. - Prepared a detailed note on sensor development along with site mapping and object identification. - Assisted in creating and testing a working prototype of an Octocopter which was fully autonomous even beyond the line of sight. - Analyzed and studied data management of the collected statistical information.

- Worked as a part of the Assembly Team and conducted detailed research on various technological systems in the field of autotech including equipment like automatic coolant recharging systems and automatic wheel aligners and balancers. - Prepared a detailed note on types categories of automated barriers and automated parking systems. - Undertook practical training for assembling and programming equipment like automatic barriers along with their RFID systems and full stack automated parking.

Mathcovery is the first of its kind National level Mathematics competition developed by a group of school students. It seeks to help students learn to appreciate and realize the unlimited potential of mathematics through the discovery of Maths present in the most unexpected things and places.