TIAGo Base

The autonomous mobile robot for intralogistics

Areas of use | AMR Whitepaper | Tech Specifics & Datasheets | Citations | Collaborative Projects & FAQ

WEBINAR | WEDNESDAY 26TH OF MAY | 12 PM (GMT+2)

Optimize your potential with TIAGo Base

The Autonomous Mobile Robot (AMR) for indoor deliveries

TIAGo Base works autonomously to enhance logistics, cut down costs, and boost efficiency and productivity in your business. The intralogistics robot works safely and adapts to changes, avoiding obstacles and people. Customise our autonomous mobile robot to meet your requirements. We can even design and manufacture a TIAGo Base robot specifically for you!

TIAGo Base models for logistics and delivery by PAL Robotics

TIAGo OMNI Base is an autonomous mobile robot for delivery and logistics roles

Drive TIAGo Base in every direction

Besides the standard two-wheel differential drive mobile base, TIAGo Base is available with omnidirectional mecanum wheels, and two LIDAR sensors for an unobstructed 360º FOV secure movement, including autonomous navigation, obstacle detection and path planning. Move and navigate the omnidirectional base with ease thanks to its precision positioning in constrained environments exploiting our autonomous mobile robot (AMR) to the fullest.

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Drive TIAGo Base in every direction

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Fast installation and user friendly

Get started smoothly with TIAGo Base! Our compact Autonomous Mobile Robot (AMR) is quickly and easily set up. We give you the means to manage your fleet of intralogistics robots. Change your robots’ tasks on the go, either through our web GUI or via your ERP system – we can provide, to you or to your integrator, a RESTful API for that.

All configurations available for TIAGo Base

Areas of Use

TIAGo Base can be used in a wide number of sectors and industries. Our autonomous mobile robot is highly versatile, making it suitable for:

Industrial Plants
and Warehouses

Healthcare,
Hospitals and Labs

Hotels

Offices

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Video TIAGo Base in action

TIAGo Base is a modular mobile platform that automates deliveries in industrial settings. The AMR base has autonomous behaviour, is easy to control and can be customized with accessories to adapt to any specific need.

Our guide to AMRs

Bringing more flexibility to manufacturing

Free download here

White paper for TIAGo Base autonomous mobile robot (AMR) developed by PAL Robotics for intralogistics

Our guide to AMRs

Bringing more flexibility to manufacturing

Free download here

Your perfect match

TIAGo Base is totally customizable for your needs.
Here are some of our existing models and examples. Request your quote
and we will find the perfect autonomous mobile robot for you!

The possible customisable configuration for the autonomous mobile robot (AMR) TIAGo Base

Technical Information

Contact PAL Robotics and get in touch with a team of experts
who can assess you and provide you with more information of TIAGo Base.

Payload:

100 kg

Max Speed:

1.5 m/s

Compactness:

∅ 540 mm

AUTOMATING INDOOR DELIVERIES

The battery of the autonomous mobile robot (AMR) TIAGo Base

BATTERY AUTONOMY

10 hours continuous use

DOCK CHARGING STATION

4.5 hours complete recharge

INTUITIVE USER INTERFACE

Compatible with multiple devices

TIAGo Base IS USED IN…

PAL Robotics is fighting COVID-19 in hospitals through the DIH-HERO with our autonomous mobile robot

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Multiple robots and humans working together in project Co4Robots

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TIAGo Delivery makes an impact in hospitals tackling COVID-19 thanks to DIH-HERO

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Citations

Pablo Lanillos, Daniel Burghardt (2022): Robot Localization and Navigation Through Predictive Processing Using LiDAR

Amandyk Tuleshov, Nutpulla Jamalov, Nurbibi Imanbayeva, Ayaulym Rakhmatulina (2022): Design and Construction of a Multifunctional Disinfection Robot

Philipp Schillinger, Sergio García, Alexandros Makrisc, Konstantinos Roditakisc, Michalis Logothetis, Konstantinos Alevizos, Wei Rene, Pouria Tajvare, Patrizio Pelliccione , Antonis Argyros, Kostas J.Kyriakopoulos, Dimos V. Dimarogonase (2021): Adaptive heterogeneous multi-robot collaboration from formal task specifications

Daniel Kiryanov, Roman Lavrenov, Ramil Safin, Mikhail Svinin, Evgeni Magid (2021): Mobile application for controlling multiple robots

Ruslan Safin, Roman Lavrenov, Tatiana Tsoy, Evgeni Magid, Mikhail Svinin, Sumantra Dutta Roy, Subir Kumar Saha (2021): Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital Environment

Frédéric Guinand, François Guérin, Étienne Petitprez (2021): UAV-UGV Multi-robot System for Warehouse Inventory: Scheduling Issues

Valeria Seidita, Francesco Lanza, Arianna Pipitone, Antonio Chella (2021): Robots as intelligent assistants to face COVID-19 pandemic

Clara Palacios Marín, Marina Vallés Miquel (2021): Estudio de la Aplicabilidad del Transporte Automatizado para el Transporte de Material en Hospitales

Jude Gyimah (2021): Variability Management in Robotic Systems: A Variability-Modelling Language That Implements Variation Points Based On Binding Time and Binding Mode

Elvira Chebotareva, Evgeni Magid, Alexander Carballo, Kuo-Hsien Hsia (2020): Basic User Interaction Features for Human-Following Cargo Robot TIAGo Base

Artur Khazetdinov, Andrey Aleksandrov, Aufar Zakiev, Evgeni Magid (2020): RFID-based Warehouse Management System Prototyping Using a Heterogeneous Team of Robots

Elvira Chebotareva, Ramil Safin, Kuo-Hsien Hsia, AlexanderCarballo, Evgeni Magid (2020): Person-Following Algorithm Based on Laser Range Finder and Monocular Camera Data Fusion for a Wheeled Autonomous Mobile Robot

Eldar Mingachev, Roman Lavrenov, Tatyana Tsoy, Fumitoshi Matsuno (2020): Comparison of ROS-Based Monocular Visual SLAM Methods: DSO, LDSO, ORB-SLAM2 and DynaSLAM

Pablo Buenestado Caballero (2020): Estudio de la implantación de AGVs en el entorno industrial

Cristian Matas Hidalgo, Carlos Ocampo-Martínez (2020): Design and simulation of a laboratory with cobots: Collaborative laboratory design

Jérémie Deray, Joan Solà, Juan Andrade-Cetto (2019): Joint on-manifold self-calibration of odometry model and sensor extrinsics using pre-integration

Jérémie Deray, Joan Solà, Juan Andrade-Cetto (2019): Robust navigation for industrial service robots

TIAGo Base Project in Logistics, Healthcare and Autonomous Mobile Robot Research

Frequently Asked Questions

How is TIAGo Base integrated in my environment?

A RESTful API is provided to integrators and end-users to handily integrate our autonomous mobile robots with your ERP or business’ internal system. This way, you can command your fleet of intralogistics robots from the same software you use to have everything under control.

If you have any further questions about logistics automation and software integration, contact us!

Can we first conduct a pilot in my facilities?

Sure! Contact us and we will design a proof of concept so you can first test the autonomous mobile robot (AMR) in your own home. See for yourself the advantages of having TIAGo Bases that boost your productivity!

How can I control the robot?

You can choose the option that suits your needs best:

Use our intuitive Web GUI, compatible with multiple devices (tablet, computer, mobile, etc).
Integrate our AMR with your ERP or internal management system. We can provide you or your integrator a RESTful API for a straightforward integration.

And you’re ready to go!

Can I use a fleet of robots?

Sure! You can even combine diverse configurations of our intralogistics robot within your fleet according to your needs. We provide a Fleet Control Software to assign tasks, optimize routes, perform traffic control and enable analytics. Ask us for more details or if you have any special request!

Can TIAGo Base work 24/7?

Yes, you can program TIAGo Base to work the hours your business needs. Once it fulfils all the tasks assigned, the intralogistics robot will go back to its dock station and recharge while waiting for a new command.

If the autonomous mobile robot (AMR) runs out of battery in the middle of a task, our Fleet Control Software can autonomously send another robot to take it over, ensuring a constant production flow.

Tell us how many deliveries you need in your production line, your warehouse, or your company, and we can give you accurate details on that!

Do I need to modify my environment?

You can leave your space as it is, the intralogistics robot doesn’t need any guide, track, or requirements to autonomously navigate and perform the deliveries.

TIAGo Base is an Autonomous Mobile Robot (AMR) and uses an advanced set of sensors and software to safely navigate without following any guide. This is a huge step ahead from the traditional AGVs.

TIAGo Base’s Artificial Intelligence generates the most efficient route to reach its delivery point, which is flexible and can change according to the production/business needs. People and other mobile elements, can safely move around it and even cross its way.

How does the robot communicate with my environment?

You can use Wi-Fi or any other wireless technology that you need. Contact us for further details!

More FAQs

Contact PAL Robotics team if you have any further questions!

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