30 Oct

This is our 3rd field test for the current system setup. Resolved problem since 2nd field test: the equipment move-in and move-out process speeds up a lot (down to

27 Oct

The PID control on horizontal direction was not good (Failed test): The PID control on vertical direction was not good (Failed test): After we fine-tuned the PID control, it worked great (successful test):

26 Oct

Some observations and tasks ahead The roco model output .wbo at the moment is just the geometrical data, does not have any device information. Tried using the Device and DiscreteComponent branch in yusuke's repo, it needs to be ironed out before it can be used (could work on debugging that also)...

26 Oct

During the experiment, we would like to do a extrem test on the ESP32 CAM since this is the most important camera that we will use on the blimp. Then we observed the folllowing situations: Corrupted images transferring back after some run time and recording: After first, I thought it was...

26 Oct

After we finished the full minimum autonomous control logics last week, we think it is necessary to add some new functions in order to tune the control in the field flying test: (1) Keyboard interruption to stop all motors (2) Keyboard interaction to change the control variables (PID control) (...

23 Oct

Full integrated high level logic flying test: What to do next: Flying test in a bigger space (like: Eng IV) Have keyboard interruption in the python function To tweak PID value while running the program To stop the balloon from being crazy The meter version April tag detection is stil...

22 Oct

Based on Wednesday Meeting, we decide to change our whole system design into a P2P Blimp-Laptop version, so that all controlling process happens on the ground i.e on the laptop. And blimp system is only for (1) get and send sensing data (2) receive laptop processed motor directives (3) control mot...

20 Oct

I've conducted the esp32 cam detection green ball integrated test and here is the video: What do we improve from before: The ML algorithm works much better than the color detection in the lab environment Some problem that I've found: ESP32 cam problem Balloon problem

20 Oct

In order to see the goals taped with the retro-reflective tape, we attached our robot with an IR LED and take a picture of the frame. Then, we take a picture with the LED off. By setting a specific threshold, we can find pixel with the difference between the 2 images being more than the specified re...