GPS (or better GNSS) positioning with Real-Time Kinematics (RTK) is certainly not new, but it still blows my mind how well it works. In the video cm-movements are being tracked by a u-blox ZED-F9P-04B receiver that I bought for €172: https://t.co/ztn1Ul4wbG pic.twitter.com/hmmAFow0p2
— Jan Zwiener (@jnz_jan) May 12, 2024
"Flip into the future": I've designed a NMPC to execute a flip maneuver with a simulated multicopter (16 motors, 800 kg).
— Jan Zwiener (@jnz_jan) March 24, 2024
The simulation is drawing the prediction horizon in blue (this is a bit jumpy as the flip has three different stages: climb, flip and return to home). pic.twitter.com/wNEzS8QL2f
Excited to share an update on my rocket control simulation project! I’ve introduced an AI Neural Network alongside the original model predictive control (NMPC). A fascinating direction that I’m eager to refine. Check out the repository: https://t.co/ULpzrxEjhf pic.twitter.com/EqoVoOkDpq
— Jan Zwiener (@jnz_jan) February 14, 2024
Happy to share my latest project: a Python-based simulation for rocket control, inspired by SpaceX rockets and powered by model predictive control! Full source code here: https://t.co/ULpzrxEjhf pic.twitter.com/S7wtnc0By2
— Jan Zwiener (@jnz_jan) December 20, 2023
Implementing the Doom fire effect, described by @fabynou on the STM32F429 microcontroller. The fire is reacting to the gyroscope movement. Frame time: 8ms. Source code: https://t.co/bAiAa1raad pic.twitter.com/6GPl7h38TN
— Jan Zwiener (@jnz_jan) September 9, 2022
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