About

We are team Cats Love Mars #31075 of FIRST LEGO League and #32034B of VexIQ Challenge robotics.

pe4u.org and mandotrainer.com are our innovation projects for the FLL Replay season and for the SCUSD STEAM Expo.

When the Covid-19 pandemic started, we 3D printed face shields, ear savers (tension release straps) and touchless door openers to donate. We donated over 1374 items to frontline workers in need.

We designed a SPIKE Prime robotics kit organization system for teams and teachers to use in classrooms. View the SPIKE Prime Organizer and template on YouTube.

In the City Shaper FLL Season, we received the Robot Design Award at Intel.

For FIRST LEGO League, we are Global Innovation Ambassadors from the "Into Orbit" season when our project CATSS (Combustion Artificial Intelligence Thermal Imaging Safety System) was one of the Top 20 Global Semi-Final projects. View our project summary video on the FIRST LEGO League YouTube Channel.

For our CATSS project, we received a Plaque of Commendation from the Santa Clara City Council in 2019.

During the Into Orbit season we received the Champion's Award at Monticello. We also received the Mechanical Design Award, Best Costume award and Best Giveway award at the Silicon Valley Championship.

In the FLL Hydrodynamics season we received the Robot Design Award at Google.

In VexIQ we received the Judges Award in 2017 at the Quarry Lane VexIQ Challenge. We also received the Judges Award in 2018 at the Quarry Lane VexIQ Challenge.

Credits and Thanks

Thanks to Vicki Martin and Sharon Ranch of Central Park Elementary for giving us advice and helping us test.

Thanks to Mr. Daniel Hollinger for trying our physical education games and giving us lots of gaming industry advice.

Thanks to Coach Teron Uy of Lakeside High School for advice on ways to encourage physical exercise and tips for improving our project.

Thanks to teachers Matt Tucker and Steven Lee of WhizKidz for teaching us Python, Java and Machine Learning.

Thanks to Jatin Upadhyay of AI Academy and Nisha Talagala of AIClub for teaching us about artificial intelligence.

Thanks to Colorlib for the SideNavBar and Styzmask for the Mandalorian Remix.

Thanks to KnifeCircus, Frank's Laboratory, Code InComplete, and Coding Train on YouTube for the coding tutorials.

Thanks to Yapa Kids, Silicon Valley Youth, and Devoxx4Kids for coding classes.

Thanks to Machine Learning for Kids for the tutorials.