Commercial model
Pricing not public
No public list price (contact sales). That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Release
Jan 1, 2015
Price
Price TBA
Connectivity
2
Status
Active
Height
110–145cm (telescoping torso)
Weight
60 kg in the current documented hardware overview; modular arm/end-effector configurations may vary
Battery
4–5h (1 battery) / 8–10h (2 batteries)
Speed
3.6 km/h
Payload
3 kg arm payload (without end-effector)
Research
Active
TIAGo
TIAGo (Take It And Go) is a modular mobile manipulator robot developed by PAL Robotics in Barcelona. It combines perception, navigation, manipulation, and human-robot interaction in a customizable platform used by over 40 collaborative research projects across 27 countries. TIAGo features a telescoping torso (110–145 cm height), optional 7 DoF arms with Series Elastic Actuators for safe compliant control, and interchangeable end-effectors including a parallel gripper and the Hey5 anthropomorphic hand. Fully ROS-based with open-source simulation, it supports mapping, autonomous navigation, pick-and-place, grasping, speech recognition, multi-language text-to-speech, and telepresence. Available in configurations from no arms to dual arms.
Listed price
Price TBA
No public list price (contact sales)
Release window
Jan 1, 2015
Current status
Active
PAL Robotics
Last verified
May 25, 2026
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Technical overview
Core specifications and system stack
A fast read on the mechanical profile, sensing package, and platform integrations behind TIAGo.
Technical Specifications
Height
110–145cm (telescoping torso)
Weight
60 kg in the current documented hardware overview; modular arm/end-effector configurations may vary
Dimensions
ø 54cm footprint, 12 DoF base config (up to 50+ with Hey5 hand)
Battery Life
4–5h (1 battery) / 8–10h (2 batteries)
Charging Time
Not disclosed
Max Speed
3.6 km/h
Payload
3 kg arm payload (without end-effector)
Tech Components
Operational profile
How this robot is configured
Capabilities
12
Connectivity
2
Key capabilities
Autonomous NavigationObject ManipulationPick and PlaceDexterous GraspingSpeech RecognitionMulti-language Text-to-SpeechFacial RecognitionTelepresence
Ecosystem fit
ROSROS 2MoveIt!GazeboOROCOSNVIDIA Jetson
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Coverage
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Reporting and explainers linked to TIAGo.
About the TIAGo
8Sensors2Protocols12Capabilities
The TIAGo is a Research robot built by PAL Robotics. TIAGo (Take It And Go) is a modular mobile manipulator robot developed by PAL Robotics in Barcelona. It combines perception, navigation, manipulation, and human-robot interaction in a customizable platform used by over 40 collaborative research projects across 27 countries. TIAGo features a telescoping torso (110–145 cm height), optional 7 DoF arms with Series Elastic Actuators for safe compliant control, and interchangeable end-effectors including a parallel gripper and the Hey5 anthropomorphic hand. Fully ROS-based with open-source simulation, it supports mapping, autonomous navigation, pick-and-place, grasping, speech recognition, multi-language text-to-speech, and telepresence. Available in configurations from no arms to dual arms.
Pricing has not been publicly disclosed. See all PAL Robotics robots on the PAL Robotics page.
Spec Breakdown
Detailed specifications for the TIAGo
Height
110–145cm (telescoping torso)At 110–145cm (telescoping torso), the TIAGo is sized for its intended operating environment and use cases.
Weight
60 kg in the current documented hardware overview; modular arm/end-effector configurations may varyWeighing 60 kg in the current documented hardware overview; modular arm/end-effector configurations may vary, the TIAGo balances structural integrity with portability and maneuverability.
Dimensions
ø 54cm footprint, 12 DoF base config (up to 50+ with Hey5 hand)The overall dimensions of ø 54cm footprint, 12 DoF base config (up to 50+ with Hey5 hand) define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
4–5h (1 battery) / 8–10h (2 batteries)With a battery life of 4–5h (1 battery) / 8–10h (2 batteries), the TIAGo can operate for sustained periods before requiring a recharge. Battery life is measured under typical operating conditions and may vary based on workload intensity and environmental factors.
Maximum Speed
3.6 km/hA top speed of 3.6 km/h is calibrated for the robot's primary operating environment and safety requirements.
Payload Capacity
3 kg arm payload (without end-effector)A payload capacity of 3 kg arm payload (without end-effector) determines what the robot can carry or manipulate. This is a critical spec for practical applications where the robot needs to handle physical objects.
AI Platform
ROS-based autonomy with MoveIt!, SLAM navigation, whole body control, facial and speech recognitionThe TIAGo uses ROS-based autonomy with MoveIt!, SLAM navigation, whole body control, facial and speech recognition as its intelligence backbone. This AI platform powers the robot's decision-making, perception processing, and autonomous behavior. The sophistication of the AI stack directly impacts how well the robot handles unexpected situations and adapts to new environments.
TIAGo Sensor Suite
The TIAGo integrates 8 sensor types, forming the perceptual foundation that enables autonomous operation.
RGB-D Camera
Details →
Force/Torque Sensor (wrist)
Details →
Laser Range Finder
Details →
Sonar Sensors
Details →
IMU
Details →
Two Microphone Arrays
Details →
Touchscreen (optional)
Details →
Fingertip Sensors (optional)
Details →
This sensor configuration enables the TIAGo to perceive its environment and operate autonomously in its intended use cases. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
TIAGo Use Cases & Applications
Research robots serve as platforms for advancing robotics science and engineering. They enable researchers to test theories about locomotion, manipulation, perception, and human-robot interaction in controlled and real-world environments.
Capabilities That Enable Real-World Use
The TIAGo offers 12 distinct capabilities, each contributing to the robot's practical utility.
Autonomous Navigation
Object Manipulation
Pick and Place
Dexterous Grasping
Speech Recognition
Multi-language Text-to-Speech
Facial Recognition
Telepresence
Teleoperation
Learning by Demonstration
Whole Body Control
SLAM Mapping
These capabilities work together with the robot's 8 onboard sensor types and ROS-based autonomy with MoveIt!, SLAM navigation, whole body control, facial and speech recognition AI platform to deliver practical, real-world performance.
Ecosystem Integration
The TIAGo integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
ROS
ROS 2
MoveIt!
Gazebo
OROCOS
NVIDIA Jetson
This ecosystem compatibility enables the TIAGo to work as part of a broader automation setup rather than operating in isolation.
TIAGo Capabilities
12
Capabilities
8
Sensor Types
AI
ROS-based autonomy with Move…
Autonomous Navigation
Autonomous navigation allows the TIAGo to move through its environment without human guidance, planning efficient paths around obstacles and adapting to changes in real time. For a research robot, this involves simultaneous localization and mapping (SLAM) to build and maintain environmental models, path planning algorithms to find efficient routes, and reactive obstacle avoidance for unexpected situations. The complexity of autonomous navigation scales dramatically with the environment — navigating a structured warehouse is substantially different from navigating a cluttered home or outdoor space. The TIAGo's navigation system must handle the specific challenges of its intended deployment scenarios reliably and repeatedly.
Additional Capabilities
Object Manipulation
Pick and Place
Dexterous Grasping
Speech Recognition
Multi-language Text-to-Speech
Facial Recognition
Telepresence
Teleoperation
Learning by Demonstration
Whole Body Control
SLAM Mapping
Connectivity & Integration
How the TIAGo communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
✓ Wi-Fi for local network and cloud access — enabling the TIAGo to participate in various networking scenarios.
TIAGo Technology Stack Overview
The TIAGo by PAL Robotics integrates 11 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 110–145cm (telescoping torso), a weight of 60 kg in the current documented hardware overview; modular arm/end-effector configurations may vary, a top speed of 3.6 km/h, providing the foundation on which this technology stack operates.
Perception — 8 Sensor Types
The perception layer is built on RGB-D Camera, Force/Torque Sensor (wrist), Laser Range Finder, Sonar Sensors, IMU, Two Microphone Arrays, Touchscreen (optional), Fingertip Sensors (optional). These work in concert to give the robot a detailed understanding of its operating environment. This multi-sensor approach provides redundancy and enables the robot to function reliably even when individual sensors encounter challenging conditions such as low light, reflective surfaces, or cluttered spaces.
Connectivity — 2 Protocols
Intelligence — ROS-based autonomy with MoveIt!, SLAM navigation, whole body control, facial and speech recognition
ROS-based autonomy with MoveIt!, SLAM navigation, whole body control, facial and speech recognition serves as the computational brain, processing sensor data, making navigation decisions, and orchestrating the robot's autonomous behaviors. The quality of this AI platform directly influences how well the robot handles novel situations, adapts to changes in its environment, and improves its performance over time through learning.
Who Should Consider the TIAGo?
Target Audience
Research robots are acquired by universities, government labs, and corporate R&D departments. They serve as experimental platforms for developing new algorithms, testing locomotion strategies, and advancing the field of robotics. Some are also used for educational purposes.
Key Considerations
Open-source software compatibility (ROS/ROS 2), sensor modularity, programmability, available SDK/API quality, community support, and published research papers using the platform are key factors. Documentation quality and the ability to modify both hardware and software are essential for research use.
Pricing
TIAGo does not currently have publicly listed pricing. Contact PAL Robotics directly for quotes and availability information.
Availability
ActiveThe TIAGo is in active commercial production and currently sold by PAL Robotics. Check the manufacturer's website or authorized retailers for the latest stock and ordering information.
TIAGo: Strengths & Trade-offs
Engineering compromises and where this research robot excels
What the TIAGo does well
Extensive sensor suite
With 8 sensor types onboard, the TIAGo has one of the more comprehensive perception systems in the research category. This multi-modal approach enables robust environmental awareness, redundant obstacle detection, and reliable autonomous operation even in challenging conditions. More sensor diversity generally translates to better real-world adaptability.
Broad capability set
With 12 distinct capabilities, the TIAGo is designed as a versatile platform rather than a single-task device. This breadth means the robot can handle varied scenarios and workflows, reducing the need for multiple specialized robots and increasing its utility across different situations.
Extended battery life
A battery life of 4–5h (1 battery) / 8–10h (2 batteries) provides substantial operational runway. For research applications, this means longer work sessions between charges, fewer interruptions, and the ability to complete larger tasks or cover more area in a single charge cycle.
What to consider carefully
Significant weight
At 60 kg in the current documented hardware overview; modular arm/end-effector configurations may vary, the TIAGo is a substantial piece of equipment. This weight contributes to stability and robustness but also means the robot requires careful consideration of floor load limits, transportation logistics, and the potential impact force in the event of unexpected contact with people or objects.
Undisclosed pricing
PAL Robotics has not published a public price for the TIAGo. While common for enterprise-class robotics, the absence of transparent pricing can complicate budgeting and comparison shopping. Prospective buyers will need to engage directly with the manufacturer for quotes, which may vary by configuration and volume.
Note: This strengths and trade-offs assessment is based on the TIAGo's documented specifications as tracked in the ui44 database. Real-world performance depends on deployment conditions, firmware maturity, and environmental factors. For the most current information, check the PAL Robotics manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
How Research Robot Technology Works
Understanding the engineering behind this category
Research robots serve a fundamentally different purpose than commercial or consumer models. They are platforms for discovery — enabling scientists and engineers to test theories, develop algorithms, and push the boundaries of what robots can do. The technology in research robots prioritizes openness, flexibility, and access to raw data over consumer-friendly packaging or commercial reliability. Understanding this distinction is important for anyone considering a research robot platform.
Navigation & Mobility
Research robots typically expose their navigation systems at a much lower level than commercial products. Researchers can access raw sensor data, modify SLAM algorithms, implement custom path planners, and test novel navigation approaches. ROS (Robot Operating System) and ROS 2 compatibility is standard, providing a common framework for sharing navigation modules across the research community. This openness enables rapid iteration — a researcher can swap between different SLAM implementations, test new obstacle avoidance strategies, or develop entirely novel navigation paradigms without being locked into a vendor's proprietary stack.
The Role of AI
Research robots serve as physical testbeds for AI algorithms that may eventually appear in commercial products years later. Reinforcement learning, imitation learning, few-shot task learning, and human-robot interaction studies all require robot platforms that can execute AI-generated commands in the physical world. The gap between simulation (where training is cheap and fast) and reality (where physics is unforgiving) makes physical robot platforms essential for validating AI approaches. Research robots must support rapid deployment of new AI models without extensive integration work.
Sensor Fusion & Perception
Research platforms prioritize sensor modularity and data access. Standard mounting interfaces allow researchers to attach custom sensors alongside built-in ones. Raw sensor data streams (not just processed results) are accessible for developing novel perception algorithms. Precise time-stamping and synchronization across sensor streams enable accurate multi-modal fusion research. Many research robots include more sensors than strictly necessary for any single application, providing researchers with rich datasets for developing and testing new algorithms.
Power & Battery Management
Research robots balance operational runtime with practical lab use. Sessions of one to four hours are typical, with quick charging between experiments. Some research setups use tethered power for long-running experiments where battery limitations would interrupt data collection. Power monitoring and logging capabilities help researchers understand the energy costs of different behaviors and algorithms — important for developing efficient approaches that will eventually run on battery-constrained commercial systems.
Safety by Design
Research environments present unique safety challenges because robots are constantly being programmed with untested behaviors. Hardware safety limits (joint speed caps, force limits, emergency stops) must be robust regardless of software commands. Safety-rated monitored stop and speed monitoring ensure the robot cannot exceed safe operating parameters even when running experimental code. Collaborative operation standards apply when researchers work alongside the robot during experiments. Many labs implement layered safety with physical barriers for high-speed testing and open-area operation restricted to validated, lower-risk behaviors.
What's Next for Research Robots
Research robot platforms are becoming more accessible and capable. Cloud robotics enables remote experiment execution and shared datasets. Digital twins and high-fidelity simulators reduce the need for physical hardware time while improving sim-to-real transfer. Standardized benchmarks and open datasets enable fair comparison of results across labs. The democratization of robotics research — through lower-cost platforms, open-source software, and cloud infrastructure — is expanding who can contribute to advancing the field.
The TIAGo by PAL Robotics incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the TIAGo, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
TIAGo in the Research Market
How this robot compares in the research landscape
PAL Robotics has not publicly disclosed pricing for the TIAGo, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
With 8 sensor types, the TIAGo has an extensive sensor suite. This comprehensive sensing capability places it among the more perception-capable robots in the research category, enabling more robust autonomous operation in varied conditions.
Being currently available for purchase gives the TIAGo a practical advantage over competitors still in development or prototype stages. Buyers can evaluate the actual product rather than relying on spec-sheet promises that may change before release.
Head-to-Head Comparisons
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of PAL Robotics's portfolio and market strategy, visit the PAL Robotics manufacturer page.
Deployment Readiness and Procurement Signals for TIAGo
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the TIAGo should be read as a research platform aimed at labs and development teams validating robotics workflows. ui44 currently tracks 12 capability signals, 8 sensor inputs, and a last verification date of 2026-05-25. That mix gives buyers a useful first-pass picture, but it is still only the public layer of due diligence, especially when procurement, uptime, and support commitments are decided directly with PAL Robotics.
Integration posture
2 connectivity options
The profile lists Wi-Fi, Ethernet, plus ROS-based autonomy with MoveIt!, SLAM navigation, whole body control, facial and speech recognition as the AI stack. That is enough to infer the basic network posture, but buyers should still confirm APIs, fleet management, and workflow integration details. ui44 currently tracks 6 declared compatibility links.
Spec disclosure
6/7 core specs public
ui44 currently has 6 of 7 core physical and operating specs filled in for this model, leaving 1 gap that matter for deployment planning. Missing runtime, charge, speed, or payload details can materially change staffing and site-readiness assumptions.
The current profile is detailed enough to support early comparison work, shortlist creation, and cross-checking against other research robots. It is still worth validating the final deployment package, because integration services, support coverage, software entitlements, and site-preparation requirements often sit outside the raw hardware spec sheet.
If you want a faster apples-to-apples read, compare the TIAGo against nearby alternatives in ui44's compare view, then cross-check the underlying AI, sensor, and subsystem terms in the components glossary. For manufacturer-level context, the PAL Robotics profile helps anchor this robot inside the wider product lineup.
Before you sign off on a pilot, confirm these points
- Confirm how the charging workflow works in practice, including charger count, swap options, and expected downtime.
- Check what safety, electrical, or deployment certifications exist for the region and task you care about.
Owning the TIAGo: Setup, Maintenance & Tips
Practical guide from day one through years of ownership
Initial Setup
Research robot setup combines hardware assembly with software environment configuration. Unpack and assemble the platform following the manufacturer's documentation. Install the development framework — typically ROS or ROS 2 — and verify sensor connectivity. Calibrate all sensors using the manufacturer's tools and procedures. Set up the simulation environment (Gazebo, Isaac Sim, or equivalent) alongside the physical platform for parallel development. Establish version control for your experiment code and configuration. Document the initial calibration values and system state as your baseline for future reference. Plan network and computing infrastructure to handle the data rates your sensors will generate.
Ongoing Maintenance
Research robots need maintenance that preserves the precision required for valid experimental results. Regularly verify sensor calibration — drift in camera intrinsics or IMU biases can invalidate experiment data. Maintain clean workspace conditions to protect optical sensors. Document any hardware modifications or maintenance performed, as these can affect experimental reproducibility. Update software dependencies carefully, documenting versions used for each experiment. Joint and actuator wear in research robots that perform repetitive tasks should be monitored and factored into experimental design.
Software Updates & Long-Term Support
Research robot software updates require careful management to maintain experiment reproducibility. Document the exact software versions used for each experiment. Test updates in a separate environment before applying to your experiment platform. Contribute bug fixes and improvements back to the community when using open-source frameworks. Be aware that ROS and other framework updates may require code changes in your custom packages — budget time for integration testing after major framework updates.
Maximizing Longevity
Research robots often have longer productive lives than commercial products because they can be upgraded and repurposed. Extend your investment by maintaining clean mechanical and electrical systems, documenting all modifications for future lab members, and keeping spare parts for common wear items. When specific components become obsolete, community forums and lab networks can be valuable sources for replacements. Consider the platform's modularity when planning future research directions — a platform that can accept new sensors and actuators adapts to evolving research questions.
For PAL Robotics-specific support resources and documentation, visit the PAL Robotics page on ui44 or check the manufacturer's official website at PAL Robotics's product page.
Frequently Asked Questions
What is the TIAGo?
The TIAGo is a Research robot made by PAL Robotics. TIAGo (Take It And Go) is a modular mobile manipulator robot developed by PAL Robotics in Barcelona. It combines perception, navigation, manipulation, and human-robot interaction in a customizable platform used by over 40 collaborative research projects across 27 countries. TIAGo features a telescoping torso (110–145 cm height), optional 7 DoF arms with Series Elastic Actuators for safe compliant control, and interchangeable end-effectors including a parallel gripper and the Hey5 anthropomorphic hand. Fully ROS-based with open-source simulation, it supports mapping, autonomous navigation, pick-and-place, grasping, speech recognition, multi-language text-to-speech, and telepresence. Available in configurations from no arms to dual arms. It features 8 sensor types, 2 connectivity protocols, and 12 distinct capabilities.
How much does the TIAGo cost?
PAL Robotics has not disclosed public pricing for the TIAGo. Contact the manufacturer directly for pricing information. No public list price (contact sales)
Is the TIAGo available to buy?
Yes, the TIAGo is in active commercial production and currently sold by PAL Robotics. Check PAL Robotics's official website or authorized retailers for the latest stock and ordering options.
What sensors does the TIAGo have?
The TIAGo is equipped with 8 sensor types: RGB-D Camera, Force/Torque Sensor (wrist), Laser Range Finder, Sonar Sensors, IMU, Two Microphone Arrays, Touchscreen (optional), Fingertip Sensors (optional). These sensors work together through sensor fusion to provide comprehensive environmental awareness for autonomous operation. See the sensor analysis section for details.
How long does the TIAGo battery last?
The TIAGo has a rated battery life of 4–5h (1 battery) / 8–10h (2 batteries). Actual battery performance may vary based on usage intensity, ambient temperature, and specific tasks being performed. Heavy workloads like continuous navigation and sensor processing will consume battery faster than idle or standby modes.
What AI does the TIAGo use?
The TIAGo is powered by ROS-based autonomy with MoveIt!, SLAM navigation, whole body control, facial and speech recognition. This AI platform handles the robot's perception processing, decision-making, and autonomous behavior. The sophistication of the AI directly impacts how well the robot handles unexpected situations, learns from its environment, and improves over time.
How does the TIAGo compare to the REEM-C?
The TIAGo and REEM-C are both research robots, but they differ in key specifications, pricing, and manufacturer approach. Use the side-by-side comparison tool to see detailed differences in specs, sensors, and capabilities. You can also browse other similar robots below.
Does the TIAGo work with smart home systems?
Yes, the TIAGo is compatible with: ROS, ROS 2, MoveIt!, Gazebo, OROCOS, NVIDIA Jetson. This ecosystem integration allows the robot to work alongside your existing smart home devices and platforms rather than operating as an isolated system.
How current is the TIAGo data on ui44?
The TIAGo specifications on ui44 were last verified on 2026-05-25. All data is sourced from official PAL Robotics documentation, spec sheets, and press releases. If you notice any outdated information, please let us know.
Data Integrity
All TIAGo data on ui44 is verified against official PAL Robotics sources, including spec sheets, product pages, and press releases. Last verified: 2026-05-25. Official source: PAL Robotics product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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