04 Apr

After we implement the new NICLA VISION camera, the performance of this hardware is pretty robust. Even with our untuned worst PID controller, it can still hover in front of the green ball for 3:30 min.

02 Apr

Finally, payoff for a feature that's been in low-level development for over a year, and in heavy development for the past few weeks! Port arrays are now advanced enough to implement an abstract microcontroller class, and the end-to-end demo is apparent from the source-measure unit example layout: ...

26 Mar

Unit test: Send single data from NV camera to PC via WIFI(500ms) Send gb detection data via wifi (50ms):

26 Mar

Using new Nicla Vision camera to do onboard detection:

26 Mar

Weekly WIPs (work in progress) are shorter posts that describe projects or features that are still being worked on, as opposed to fuller posts looking at completed work. Most features take weeks to build, so these are smaller intermediate progress reports, but hopefully will still be interesting! ...

19 Mar

Weekly WIPs (work in progress) are shorter posts that describe projects or features that are still being worked on, as opposed to fuller posts looking at completed work. Most features take weeks to build, so these are smaller intermediate progress reports, but hopefully will still be interesting! ...

11 Mar

Weekly WIPs (work in progress) are shorter posts that describe projects or features that are still being worked on, as opposed to fuller posts looking at completed work. Most features take weeks to build, so these are smaller intermediate progress reports, but hopefully will still be interesting! ...

11 Mar

This blog posts summarize the current questions on team-based mean-field theory. Mainly about: Gap between continuous portion of agents vs.. integer agents number Influence of numbers of agents Stationary distribution assumption Upper bound of k-hop neighbour error - exponential decay prop...

11 Mar

The top one is the original detection data and the bottom one is after we implement the KF algorithm. The blue circle is the predicted location and the red one is the original location. This is the simple version of green ball color threshold detection: I add the region filter and it preform...