AlphaBit OpenML Platform

Where Robotics Meets Machine Learning

We build FTC-ready machine learning tools that detect game elements, estimate position and orientation, and support autonomous collection with high reliability.

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Game Element Detection

Real-time model inference for consistent element localization during matches.

Pose + Field Orientation

AprilTag and odometry fusion keep orientation and field pose updates stable.

Autonomous Cycle Logic

Detection-driven automation keeps autonomous scoring cycles repeatable under pressure.

Try our newest ML stack built for competition robotics.

Machine learning is not a buzzword for our team. It is a practical engineering layer integrated into the full robot workflow. We use it to detect game elements, pick up artifacts autonomously, and automate as many repeatable actions as possible so drivers can focus on match strategy.

Software Features on This Robot

Sensor Fusion + Vision Reliability

Odometry, IMU and camera tracking are fused for stable pose updates, with camera-based pose refresh to reduce drift during autonomous cycles.

Automated Artifact Cycle

Inverse kinematics auto-aim, autonomous artifact pickup, burst-shot sequencing and geofencing checks keep cycles fast, repeatable and safe in valid scoring zones.

Driver-First, Fail-Operational Control

Manual redundancy, safety interlocks and fast override paths keep the robot controllable under pressure even if a sensor pipeline degrades.

For the national stage we switched to Limelight (Raspberry Pi based) to benchmark it against our previous camera stack.

FTC Decode 2026 robot

Performance Snapshot

90%+ Detection Accuracy
Real-time Inference Pace
Match-tested Field Validation
Decode 2026 Competition Focus
FTC robot shooting artifacts

FTC Decode 2026 Robot

Built for Reliable Autonomous Scoring

This platform robot combines mechanical consistency with an OpenML vision stack tuned for fast artifact detection and controlled shooting sequences. The result is a stable autonomous cycle under competition pressure.

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