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AUTOMATA MOBILITY

ChatGPT Image May 18, 2026, 02_06_31 PM.png
ChatGPT Image May 18, 2026, 02_06_31 PM.png

AUTOMATA MOBILITY

Ride Pilot - A Rider First ARAS

2026

Ride Pilot is Automata Mobility’s rider-first ARAS and autonomy platform for compact vehicles—scooters, quad bikes, and last-mile logistics platforms—designed to make real-world riding safer and more comfortable through sensor fusion, risk prediction, and intervention-capable control. It goes beyond alert-only systems by pairing intelligence with smart actuation, enabling smooth, bounded assistance over throttle and braking while preserving predictable behavior and rider authority where required.
A key differentiator is Dual-IMU analytics using a vehicle-mounted IMU and a helmet-mounted IMU. By comparing head dynamics against the vehicle’s deceleration and chassis motion, Ride Pilot estimates rider pose proxies and response lag, quantifies braking jerk exposure and shock accumulation from bad roads and suspension events, and infers neck/back strain proxies from head–neck dynamics. These outcomes are used to tune assist profiles so the system reduces harshness, improves stability feel, and maintains safety margins with measurable comfort gains.
Ride Pilot also includes behavior mapping that turns raw motion and control signals into intent-aware autonomy. The system classifies rider intent in real time—such as brake, avoid, or hold—then learns rider style over time to personalize thresholds and response curves. Comfort-aware constraints adapt assistance limits based on rider state and exposure history, ensuring the system remains supportive rather than intrusive. In parallel, the same data continuously calibrates a digital twin of the rider–vehicle–suspension response, enabling safer edge-case replay, validation, and iterative improvement of policies before deployment.

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