avirupdas55/DroneDiffusion
Diffusion based system identification with JAX
This project helps robotics engineers and researchers build more resilient drone control systems. It takes flight data containing states and control inputs from quadrotors and uses it to learn a probabilistic model of unpredicted forces like wind or payload changes. The output is a robust controller that enables drones to maintain stable flight paths even when encountering disturbances.
No commits in the last 6 months.
Use this if you need to develop drone controllers that can reliably track trajectories despite varying environmental conditions or unexpected payloads.
Not ideal if you are looking for an off-the-shelf drone flight controller for immediate deployment without custom model training.
Stars
31
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 18, 2025
Commits (30d)
0
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