Flex Robot Platform

The Flex Robot Platform makes it possible to perform research and development in offroad environments. It loads up to about two times its own weight and transports it over uneven surfaces. With the higher ground clearance it can move over obstacles without loosing the permanent contact to the ground. Additionally, it is made of renewable resource and leads to a better ecological footprint.

ROS prepared: The basis for controlling the platform is an Arduino Mega, which can be connected via the serial interface. Additional modules such as an NVIDIA Jetson Nano or a Raspberry Pi control the platform via ROS (Robot Operating System).

Remote Controllable: The platform is ready for immediate use and can be controlled by means of the supplied remote control. This makes it easy to test the driving characteristics, carry out camera movements or record measured values. Simple equipment can also be controlled remotely via the receiver.

Maker Ready: The aluminum profiles used allow easy expansion with attachments and also larger additional constructions. Due to the low center of gravity of the engines, medium loads can be attached without concerns.

Adaptable and Sustainable: Professional screen printing plates are used for the chassis. If necessary, the chassis can be adapted to individual requirements without having to be completely redeveloped. In this way, materials are consciously reused. The internal space allows the integration of about four Raspberry Pis or 2 NVIDIA Jetson Nanos in the chassis itself. Additional components can easily be mounted on top in separate enclosures.

Technical Specifications

Width x Height x Length (over all)770 x 440 x 620 mm
(30.3 x 17.3 x 24.4 in)
Width x Height x Length (main body)475 x 100 x 500 mm
(18.7 x 3.9 x 19.7 in)
Weight27 kg (60 lb)
Maximum Load60 kg (132 lb)
Internal Space for Extensionsabout 4x Raspberry Pis or
2x NVIDIA Jetson Nano
Maximum Speed8 km/h (5 mph)
Operating Time (mixed usage profile)6 hours
RC Interface Standard PPM Receiver
Developer InterfaceArduino Mega

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