AI Technologies
Behind the Scenes
Robotics and Advanced
AI-Driven Technology
T60 offers an AI-driven ride that is remotly controlled by Segway cloud platform. T60 features auto-dock return capabilities for charging and automatic fleet regrouping in areas with greater demand.
Visual Navigation
The fisheye camera captures full view of the surrounding, which enables click-and-go navigation for short travel and follow-the-edge navigation for long travel.
Deep Learning
T60 is able to detect and avoid obstacles and packs safety precautions for crossing traffic lights safely.
Key Features
Indepedent braking systems: It features three sets of independent braking systems (regenerative, drum, and parking) to ensure riders’ safety.
Allow One-handed Driving: A secure riding surface allows for one-handed operation when necessary.
Inverted three-wheel design: It is much easier to learn and ride than its two-wheel counterpart;
No kickstand needed: T60 can stand firmly without kickstand needed, reducing the possibility of “scooter dominoes”.
Tech Specs
Classic
Brakes
Computer
IP Code
Mobile Payload
Max Speed
Range
Battery
Inverted three wheel design
with suspension
Three sets of independent breaking system (regenrative, drum, parking)
1.8GHz 6-core processor
Entire scooter-IPx5,
Critical parts IPx7.
264 lbs
19.8 mph
(can be reduce to local speed limit)
37-43 miles
Swappable lithium with remote
lock/unlock function
Better Micromobility Economy
Address Cities’ Pain Points
& Explore New Possibilities
The self-driving e-scooters can keep sidewalk clear and reduce clutter for cities with automatically regrouping fleets, returning to dock and charging stations.
Better Micromobility Economy
More Efficiency, Sooner Profit
The supply and demand of e-scooters can vary with time and space, resulting in low efficiency in manual rebalancing.. Moving scooters around without direct human intervention would ease a major logistical pain for operators and improve operational efficiency.