IRL Technoxian Quadcopter Challenge, World Robotics Championship, by International Robotics Council (IRC), 2017

We built an indigeneous Light-Weight Sandwich Composite Multirotor System. As the Avionics Technician on the project, I was responsible for designing, integrating and testing the quadcopter's propulsion system and tuning the Naze flight controller. Report

AUVSI Student Unmanned Air Systems Competition, Maryland, USA, 2017

UAS Lazarus

Journal Paper (Team UAS-DTU)

Developed a customized Ardupilot firmware algorithm to capture the off-axis target using 2-axis gimbal stabilization for Lazarus. Did extensive flight testing of this feature for the AUVSI-SUAS competition.

Robotics and Machine Intelligence Laboratory

Mentor: Prof. Rajesh Rohilla

Real-time object recognition system for autonomous navigation. Used the YOLO architecture and ZED stereo camera on Nvidia’s Jetson TX1 module to develop a system that provides real-time information about the identity of objects and their distance from the car using audio.

Implementing YOLO in Pytorch from scratch: Code