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Speed | 18km/h |
Motor | 2x400W |
Battery capacity | 329Wh |
Range | 35km |
Charging time | 8h |
Min load | 20-25 Kg |
Max load | 100kg |
Ascension | 15° |
Vehicle dimensions | 650*310*570mm |
Water resistance | IPX4 |
Set | Charger |
Xiaomi and Intel have added some innovative functionalities to the Ninebot by Segway miniPRO to transform it into a personal robot assistant, which you can ride but that can also navigate and follow you autonomously. Interact with the Segway Robot in a three dimensional way using the microphone array and face recognition features of the Intel RealSense camera.
Besides this, Segway Robot has a ton of cool assets, like a fish-eye camera which allows you to shoot photos and videos from a wide angle and a hardware extension bay to which you can attach accessories such as robotic arms. Around the house, outside, or at work, this butler from the future can help you anywhere, anytime. Use the SDK to program apps for your life companion to help it reach its full potential.
LOOMO offers a smooth riding experience across many terrains and can travel up to 22 miles on one charge.
With its advanced computer vision, Loomo can follow you autonomously, shoot stabilized video, and more.
LOOMO’s easily programmable features mean that the possibilities are endless. Users without programming experience can teach LOOMO new tricks!
Speak, explore, interact, and experience as if you are LOOMO. Allows you to have LOOMO’s world right in the palm of your hands!
You can use LOOMO’s Android SDK to directly access LOOMO’s full range mobility and AI capabilities to build a range of playful features or practical solutions. Customize your LOOMO with features suitable for your work and play.
Your LOOMO will grow with you! LOOMO will continuously update its software and applications to include new features to impress and surprise you.
LOOMO leverages powerful Intel RealSense technology, and is developed by Segway, the global leader in self-balancing vehicle (SBV) transportation.
Driven by cutting edge computer vision and deep learning technology, LOOMO's visual system consists of an object Detection and Tracking System (DTS) and a Human Understanding System (HUS).
LOOMO contains Intel RealSense ZR300 camera for precision and clarity. This allows for High Definition 1080P captures, accurate depth sensing and fluid motion tracking, which enables 3D perception, robot mapping and obstacle avoidance.
The robust motion control system, with disturbance rejection and quick response techniques, enables LOOMO to ride smoothly on various surface types.
By building high-resolution maps of its physical environment, generating predictive models that anticipate passerby behavior, and conducting ongoing analysis of its own mechanics, LOOMO actively plans its movement and reacts instantly to its surroundings. As a result, LOOMO can reliably move to a provided destination, smoothly track and follow its target, and avoid obstacles in its path.
LOOMO’s three-axis gimbal stabilizes its HD camera, enabling the robot to neutralize abrupt movements or vibrations. This stability allows LOOMO to not only capture higher quality video but also better assess its surroundings and establish computer vision.