Drone Racing Optimisation

Sep 10, 2020
Code
Image credit: Flipkart

Worked as a part of Drone-Acharya Team, IIT Kharagpur for the Flipkart GRID-2.0 Robotics Track Competition: Autonomous Indoor Drone. Designed an Imitation-Learning based learning algorithm for fast Quadrotor trajectory planning using DAGGER. Fully deployed an expert minimum-snap trajectory generation algorithm on Microsoft AirSim Simulator on a custom warehouse environment built on Unreal Engine.

Had a great experience at the National Finales of Flipkart GRID2.0!

Will update with any new developments that come out of this project.

Deep Learning Computer Vision Robotics
Debjoy Saha
Debjoy Saha
B.Tech Student

B.tech stduent interested in Multimodal Machine Learning and Speech, Language and Image Processing

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