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Best Presentation · AWARE-AI Fall Hackathon 2026

Drive a robot with one forearm

A Myo armband reads your arm like a lever: its angle sets speed and steering, and a firm fist brakes.

The browser Jackal sim on the L2 Slalom course: the robot at the start line facing pairs of coloured posts, with the lidar view top right and the course panel bottom right

What we built

Our team's entry to the AWARE-AI Fall Hackathon at RIT, October 22-23, 2026. Every team got the same browser sim of a Clearpath Jackal, a command bridge and a Myo armband. The task: turn the armband's signals into forward speed and turn rate, drive three timed courses, then keep the robot drivable over a slow, lossy link.

We started with five muscle gestures and a classifier, and it broke as soon as the forearm rolled. So the controller steers with the armband's motion sensor, which rolling cannot fool, and keeps the muscle signal for one job: a deliberate fist that brakes. A lidar assist slows before obstacles and nudges you through a gate you are already aimed at.

What it did

20.7 s L1 Gates, median of 4 runs, 0 collisions

26.6 s L2 Slalom, median of 6 runs, 0 collisions

16.3 s L3 Corridor + Dock, median of 4 runs, 0 collisions

All 51 recorded runs finished with no missed gates. A new driver calibrates in about 2.5 minutes with one command. All the results, including what did not work →

The team

AJ Barea, Jose, Kiran and Xinyi Liu. Xinyi built the gate assist, the sim's lidar minimap, the assist viewer and the pooled brake model; AJ wrote the lever controller, the neural-network study and the deck generator. The sim, the bridge and the event kit come from the organizers' AHRTLab/Hackathon repo, which ours forks.