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Tugbot

TUGBOT_Banner_RSfront_V4_700px.jpg

ROS Software Maintainer: mov.ai

Meet TUGBOT, world's most compact autonomous mobile robot. TUGBOT is an autonomous mobile robot (AMR) designed and manufactured by RoboSavvy in Portugal. Powered by MOV.AI, an automation software framework based on ROS, TUGBOT is an intelligent, safe, stable, flexible and precise AMR designed to help companies of all sizes on their intra-logistics processes by optimising workflows, freeing staff to perform added value tasks, increasing productivity and reducing costs.

TUGBOT benefits are not exclusive to industrial and logistics businesses. Due to its affordable pricing, high levels of safety, flexibility and powerful easy-to-use software based on ROS, TUGBOT is the best AMR for higher-education, universities and researchers to explore the full potential of an autonomous mobile robot in their projects.

RoboSavvy is committed to support the education and research sectors so your entity might be entitled for a 20% discount on the RRP of TUGBOT. Find out more at www.tugbot.ai.

You can achieve a safer work environment by letting the robots do the dangerous, tedious and labour-intensive tasks. They come equipped with safety features including an emergency stop switch and laser obstacle detection.

Our AGVs reduce non value-added labour costs allowing workers to be reassigned to higher-value activities.

Localization & navigation are necessary for the robots to know where they are. The AGVs use a combination of cameras, lasers, sensors, environment matching marks, beacons, and GPS to achieve the necessary results without having to change facility infrastructure.

Our AGVs are powered by MOV.AI, an automation software framework. The intuitive user interface gives the user the ability to easily create maps, sketch work areas and define paths. Work plans can be created within minutes and can be reconfigured whenever necessary.

Features

1. Seek and Fetch Navigation Behavior

The TUGBOT navigates within a defined route or work area searching for a payload. When it is identified, the TUGBOT AGV will hook onto a wheeled cart or pallet and transport it to a defined location.

2. Obstacle Avoidance

TUGBOT automatically detects obstacles and either stops securely or can be configured to reroute around the obstacle. This allows TUGBOT to work within dynamic environments.

3. Autonomous charging & Fleet management

TUGBOT autonomously navigates and docks into the charging station. A fleet of TUGBOTs can collaborate to perform complex missions. They can interact with external IT systems and legacy machines.

4. Path planning

TUGBOT can follow a path on a map or memorize and repeat a path. It can follow a person or another TUGBOT.

5. Tow Hook

The TUGBOT AGV is equipped with a tow hook and it can pull a payload of up to 250 kg.

6. Applications

Long Hauls, Cross-Docking, Putaway, End-of-line, Replenishment, Staging/Sortation, Pick Assistance, Parts-to-line and more.

Specifications

Product Details

Collaborative autonomous mobile platform 2 motorized + 2 castor wheels for low mounted payloads. Pulls any wheeled payload

Dimensions

Size: 741 × 640 × 463 mm [LxWxH]

Weight

40 Kg

Max Pull Force

250 Kg

Max Speed

5 m/s

Max Incline

5‎°

Operation Environment

Indoor & Outdoor

Attachments

Mechanical tow hook for moving external loads

Battery

55V/450Wh Li-Ion

Battery Life

6 hours

Battery Charging

Docking Station

Charging Time

50% 1 hr, 100% 2.5 hrs

PC

Mini-itx motherboard with Intel core i5 3.0GHz / 8Gb DDR3 RAM / 120Gb SSD HD

Sensors/Cameras

1x Front Lidar – hokuyo UAM-05LP-T301 – Safety compliant ISO13849-1, IEC61496-1/3; 1x Rear Lidar – hokuyo urg-04lx; 1x RGBd camera (front); 1x RGB camera (rear)

Safety

Emergency stop switch; Obstacle detection 360°; Warning light (revolving orange light); Sound Warnings; RGB Status LEDs

Control

Any tablet web browser (HTML5 interface); Remote control device; Voice; Glove; AR Glasses

Communication

Bluetooth; WiFi; Ethernet; 2x USB

Tutorials

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Support

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Library Overview

1. Basic Configuration

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2. Hardware Drivers and Simulation

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3. High-Level Capabilities

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4. Sensor Drivers

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2024-03-23 12:23