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at high school students who have never programmed before.\n\n- Modularity\n\n  - Allow the program to be represented as a set of independent bite-sized\n    modules.\n   \n  - Allow re-use of modules across different programs (FTC \"opmodes\").\n\n  - Support the creation of team libraries that can be re-used from season to\n    season.\n   \n    - This allows teams to capture and reuse what they've learned, so that they\n      can continually improve from one season to the next.\n\n- Direct support for State Machines.\n\n  - Often robot autonomous routines are diagrammed as state machines with\n    chains of actions linked together, branching at decision points.\n \n  - This language directly supports that using Decision Logic Tables for the\n    branching decision points, and labeled blocks of code for actions that are\n    linked with simple \"goto\" statements.\n\n    - This language has no stack, so infinite loops of gotos are directly\n      supported.\n\n- Autonomous programming is easy.\n\n  - With no stack, it is very easy to run multiple autonomous threads\n    concurrantly.  For example, move forward 5 ft while raising the elevator\n    14 inches.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdangyogi%2Frobot-brains","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdangyogi%2Frobot-brains","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdangyogi%2Frobot-brains/lists"}