Description
Module parameters
Model | M20 | M18 | M16 | M14 | M12 |
Diameter/mm | 181 | 168 | 154 | 141 | 127 |
Width/mm | 46 | 46 | 46 | 46 | 46 |
Weight/g | 830 | 730 | 640 | 550 | 400 |
Rated Load/kg | <25 | <25 | <25 | <25 | <25 |
XROLL-M is a set of customizable McNamp wheels, which adopt a modular design and can form different wheel diameters.
The wheel frame adopts sheet metal design, which is easy to replace and customize, and is compatible with various
power motors.
Available on backorder
Model | M20 | M18 | M16 | M14 | M12 |
Diameter/mm | 181 | 168 | 154 | 141 | 127 |
Width/mm | 46 | 46 | 46 | 46 | 46 |
Weight/g | 830 | 730 | 640 | 550 | 400 |
Rated Load/kg | <25 | <25 | <25 | <25 | <25 |
ORCS – DIFF is a four-wheel differential chassis with a three axis adaptive suspension structure, which can achieve ground adaptive adhesion; Simultaneously adopting fourwheel drive power and high Ground clearance design, it has excellent off-road capabilities.
It provides a variety of peripheral modules that can be used for outdoor inspections, lawn mower development, complex environmental transportation, and other scenarios.
ARK is an indoor AGV chassis equipped with an automatic charging system and lighting indicator system, which has excellent load capacity and passability, making it particularly suitable for various indoor environments.
This chassis can be equipped with an autonomous driving navigation package, suitable for commercial services, indoor inspections, educational research and other scenarios.
TRIGGER-A is an omnidirectional wheel chassis. Adopting large-sized omnidirectional wheels , smooth movement and strong passability, with a three wheel layout structure, it can move in all directions or rotate in place, suitable for indoor narrow space movement. Can be equipped with a robotic arm as a humanoid robot base.
ORCS-MINI is an educational Macnam wheel chassis designed with wheel hub motors and swing arms, which is
responsive, fast, and has strong terrain adaptability.
This chassis can be equipped with an autonomous driving module for learning and development purposes, and can also
be linked with intelligent scenarios to simulate complex working conditions.
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