Before I actually buy the parts to build a drone project, I wanted to test out how hand dodging mechanisms work. Since I haven't got the hardware yet for the project, I built this simulation using python, pygame, and opencv to see how a hand could dodge oncoming obstacles in 3D space (similar to a drone). Here is what I came up with:
Just finished some documentation with lapse for my recent sub-project
For my upcoming drone machine learning project, I have developed an autonomous navigation game where a drone must learn to dodge obstacles. This is really crucial for the drone to do in real life because environments can be unpredictable with trees, moving vehicles, and birds.
I have started to create a Reinforcement Learning Agent for the drone project with features such as matplotlib with graphing with X, Y parameters. So far, the training agent is coming along really well. The script uses gymnasium env and open cv for real time visuals. I will continue to develop this until the training agent could work for my drone project
Hey, check it out this super cool dodging game I came up with! It is to facilitate testing how hand tracking could work for a drone project
