All Categories
New customer? Start Here.
TUGBOT
RoboSavvy’s TUGBOT Autonomous Guided Vehicle stands out compared to other industrial AGVs by having some very unique capabilities. Indoor Outdoor. Ability to pull or carry. Ability to carry high payloads. Configuration comes as standard with safety LIDARs, depth cameras..
The TUGBOT is powered by MOV.AI, a universal software framework for making mobile machines intelligent. MOV.AI provides the TUGBOT with standard ROS features in addition to robust configuration UI, application UI builder, obstacle avoidance, fleet management and “Uber” style applications.
We have partnered with Ground Drone, a robotics software company, and together we are currently working to bring to market several Autonomous Guided Vehicles to be used for material handing, internal logistics and camera motion control for video production. Our long-term goal is to develop a full range of AGVs expanding into other markets including retail, delivery, entertainment, and healthcare.
Our AGVs are powered by MOV.AI, Ground Drone’s universal software framework for making mobile machines intelligent. MOV.AI is an enterprise grade software framework built on top of ROS. ROS is the de-facto standard opensource middleware for robotics with thousands of active contributors. It offers the latest AI, vision and navigation algorithms in addition to supporting hundreds of sensors, cameras and actuators. MOV.AI adds to ROS a modern web UI, app-store like features, cyber-security, fleet management and back-office integration.
Until now, robot manufacturers largely built their own software. As in other markets, separating the making of software and hardware reduces the cost and risks of R&D which ultimately leads to better and more affordable products with faster innovation cycle.
The TUGBOT has many features that can be implemented in your automated system.
Technical 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 | 20 km/h |
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) |
Localization | Localization options: LIDAR 3D vision Infrared depth camera (indoor artificial light condition) GPS (outdoors) Visual Markers and Camera Ultrasonic beacons / laser lighthouse / wifi beacon |
Mapping / Path Definition | Automatic Mapping – walk through or remote control Follow-me path planning Sketch work areas on the map Path sketching Geofencing |
Navigation Behaviors | Follow object or person Seeking Seek and Fetch |
Standard Behaviors | Battery charging behavior Obstacle behavior Intersection behavior |
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 |
Need a custom Robot?
Let us know