Universal Mobile Omnidirectional Platform for Studying Autonomous Systems and AI

• Drive and wheels: omnidirectional drive; 4 roller wheels with rollers set at an angle to the wheel rotation plane, two with left-hand and two with right-hand roller tilt, mounted in diagonal pairs; movement in any direction without turning the body and rotation on the spot
• Maximum travel speed: 1 m/s
• Payload: 5 kg
• Manipulator mounting: mounting seat with a 10-pin data cable and a 4-pin power cable, rated for mounting and powering a 2 kg training robotic manipulator
• Overall dimensions: 463 × 289 × 124 mm
• Weight: 5 kg
• Main materials: impact-resistant plastic, polycarbonate, aluminium alloy
• Power supply: two built-in battery packs, nominal voltage 12 V, nominal capacity 2500 mAh each; charging from 100 to 240 V mains, 50/60 Hz, charging time about 110 min
• Battery run time: 150 min (line following with simultaneous manipulator operation)
• Operating temperature: 0 to +35 °C
• Sensors: four ultrasonic obstacle detection sensors, detection range 30 cm, scanning sector 60°; gyroscope
• Machine vision: two cameras with image processing — a chassis camera (line following, road marking and sign recognition) and an end-effector camera on the manipulator (object recognition and sorting)
• Communication and control: 2.4 GHz radio channel for the joystick; Bluetooth short-range wireless channel through an adapter fitted in a PC USB port, range 15 m in open space; USB cable and USB Type-C port; real-time control from the joystick or from a PC
• Expansion interfaces: USB port, 4-pin signal port, 12 V power port, memory card slot; 12 M3 threaded holes on the top cover and 8 on the bottom cover for additional modules
• Programming: block (graphical) environment and text programming in Python
• Base device: Dobot Magician Go (PRC), modified by UNOWA Sp. z o. o.
• Software and teaching materials: developed by UNOWA Sp. z o. o.

Kit Contents:

Platform and power

• Mobile omnidirectional platform, omnidirectional drive on four roller wheels, maximum travel speed 1 m/s, payload 5 kg, mounting seat with power and data cables for a 2 kg training manipulator, 463 × 289 × 124 mm, weight 5 kg, operating temperature 0 to +35 °C — 1 pc
• Built-in battery packs, nominal voltage 12 V, nominal capacity 2500 mAh, 27 Wh, 95 × 80 × 28.5 mm each — 2 pcs
• Charger for the built-in battery packs, mains supply 100 to 240 V, 50/60 Hz, output 12 V 5 A — 1 pc
• External control unit with expansion ports, two 4-pin 12 V power ports, two 10-pin data ports, six 4-pin peripheral ports, USB port and USB Type-C port, maximum power 60 W — 1 pc

Machine vision and control

• Chassis machine vision camera, built into the platform body: line following, recognition of the lane centre line, pedestrian crossings and road signs — 1 pc
• Machine vision camera kit for the manipulator end effector, object recognition and sorting — 1 kit
• Camera calibration cards — 1 set
• Joystick kit: joystick — 1 pc (three operating modes, built-in 500 mAh battery, 156 × 102 × 60 mm, 190 g), USB receiver — 1 pc, joystick charging cable — 1 pc
• Bluetooth short-range wireless adapter for a PC USB port, communication range 15 m in open space, 72 × 27.8 × 12.3 mm, 20 g — 1 pc
• USB cable — 1 pc

Field and accessories

• Marked navigation mat, 328 × 235 cm, city-of-the-future theme with autonomous driving and logistics; zones: start point, residential house, supermarket, platform base and smart warehouse; lane markings with a centre line, pedestrian crossings and road signs for chassis camera recognition — 1 pc
• Mat accessory kit: road signs, delivery boxes, stacking boxes and objects for sorting, connecting accessories — 1 kit
• Mounting accessory kit: 1.5, 2.0 and 2.5 mm hex keys, M2×25 and M3×6 socket head screws, M3×8 countersunk screws, M2 nuts — 1 kit
• User manual and teaching guide — 1 kit

Software

• Software with Ukrainian-language interface: block (graphical) programming for beginners and text programming in Python for complex scenarios, real-time control of the platform from a PC or with the joystick — 1 pc

The training robotic manipulator installed on the mounting seat of the platform is not part of the product and is supplied separately.

Product passport: ULABS-ROB-DE-5004 (PDF)

The product comes with access to an AI assistant integrated into the learning management system and built on retrieval-augmented generation (RAG): it forms answers from a localised knowledge base aligned with the national curriculum of Ukraine.

AI Assistant Functions

• Task selection: automated selection of research tasks and experiments matching the topic of the lesson
• Methodological support: step-by-step description of the procedure for conducting experimental research
• Error analysis: identification of typical student errors and personalised recommendations for correcting them
• Adaptive difficulty: adaptation of task difficulty to different levels of student preparation
• Reports and conclusions: support in compiling reports on research results and in structuring the conclusions drawn from experiments
• Knowledge base: operation on a localised knowledge base aligned with the national curriculum of Ukraine
• Licence: right of access to the software and materials valid for 12 months
• Language: content, interface and learning materials in Ukrainian

AI algorithms of the platform

• Object recognition: the end-effector camera recognises and sorts objects on the marked field
• Line and road marking following: the chassis camera holds the platform in the lane by the centre line and reads pedestrian crossings
• Road sign recognition: the control program changes the behaviour of the platform according to the recognised sign — slowing down, stopping before a crossing, turning onto the required section
• On-camera model: a recognition model trained with an object detection algorithm is embedded directly in the chassis camera; images and trained models are stored on a memory card

Access is provided on the edu.unowa.eu platform.