Let's humanize technology

Mobile robot basis for innovative projects

Springboard for innovative research!

Start your project with the right mobile robot platform.

Solid base

For the launch of your research projects, our robot platform offers a highly innovative system that combines the latest technological developments in robotics and established industrial technology.

Efficient cooperations

We have experience with various universities as cooperation partners and are open to new collaborative research projects.

Fast feasibility studies

Our mobile robot platforms bring along all the basic functionality that enables rapid scenario implementation and testing.

Great flexibility

The modular design of our platform allows you to customize according to your own ideas.

You have an idea?

We are here to help you.

Contact us!

Projects und references

Customer voices

  • The SCITOS robot has proven to be a robust and reliable, universal research platform that has been continuously autonomous for hundreds of hours and kilometers. MetraLabs has supported us throughout the duration of our ambitious project with excellent technical support and software updates.

    Nick Hawes, Koordinator des STRANDS Project School of Computer Science, University of Birmingham

Mobile robot platform for research

SCITOS G5
Universal robot base
Mobile Roboterplattform - SCITOS G5

SCITOS G5 is our universal mobile base, which due to its modular design is suitable for numerous research applications:

  • Human-Robot Interaction
  • Navigation
  • Obstacle avoidance
  • Mobile manipulation

Technical specifications

  • 570 mm x 735 mm x 610 mm (H x L x W)
  • Differential drive
  • Ground clearance: 20 mm
  • Maximum speed: 1.4 m / s
  • Load: 50 kg
  • Dead weight: 60 kg
  • Running time: 18h runtime with one battery charge / 6h charge time
  • Embedded PC with Intel i7 processor, WIFI
  • Safety edge
  • Prepared for public use
SCITOS G3
Home Care System
Mobiler-Roboter-SCITOS-G3-MetraLabs

SCITOS G3 – a research platform for social robotics and home applications. It can be operated well in standing and sitting.

Technical specifications

  • 495 mm x 495 mm x 1190 mm (H x L x W)
  • Differential drive
  • Ground clearance: 15 mm
  • Maximum speed: 0.8 m / s
  • Dead weight: 60 kg
  • Swiveling 15.4″ touch display (1280×800)
  • 2  3.5″ eye displays (320×240)
  • Running time: 16h runtime with one battery charge / 6h charge time
  • Embedded PC with Intel i7 processor, WIFI
  • SICK S300 safety laser scanner
  • Asus Xtion Pro
  • Safety edge
SCITOS X3
X3
Mobile Roboter - SCITOS X3

SCITOS X3 is a mobile base that has been specially developed for transport tasks, tight passages, and mobile manipulation.

Technical specifications

  • 436 mm x 710 mm x 470 mm (H x L x W)
  • Differential drive
  • Turns on the spot
  • Ground clearance: 15 mm
  • Maximum speed: 1.4 m / s
  • Load: 100 kg
  • Dead weight: 50 kg
  • Running time: 18h runtime with one battery charge / 6h charge time
  • Embedded PC with Intel i7 processor, WIFI
  • Safety edge

Further equipment

Sensors
SCITOS G5 Plattform mit Kamera-Sensor

Sensors

  • Safety Laser Rangefinder SICK S300 Standard / Advanced / Professional
  • Safety laser rangefinder LEUZE Rotoscan RS4-2E
  • Cameras DFK 21BF04, DFK 31BF03 incl. lenses and drivers
  • Asus Xtion Pro / Kinect / Kinect 2
  • TeraRanger One
  • On request integrated into a pan-tilt unit
Robot arms
Kinova Jaco2 Roboterarm Produktbild

KINOVA JACO2 – SIMPLE, SEXY, SAFE

Technical specifications:

  • 6 DOF
  • Range: 74 cm
  • Weight: 4.4 kg
  • Payload: 2.6 kg / 2.2 kg at maximum reach
  • Carbon structure
  • Including power supply, joystick, carrying case, SDK for Linux and Windows
  • Optional three- or two-finger gripper
Human-Machine Interaction
Mobiler-Roboter-HMI_MetraLabs

HMI – Touchdisplayeinheit

  • Height: 760 mm
  • Weight: 7.5 kg
  • 15 “TFT display (1.024×768 pixel)
  • Touch based on different technologies
  • 10W stereo speaker
  • 2 omnidirectional speakers
  • Asus Xtion Pro Live Sensor
  • Aluminum profile for mounting above the SCITOS G5 platform
  • Plugin for MIRA
  • Reusable transport box

RoboHead

  • mechanical robot head, 5 DoF (turning, nodding, opening and closing of the eyelids, movement of the eyes)
  • 32 LEDs for displaying status messages
  • transparent plastic housing
  • Plugin for MIRA

HMI case

  • Covering the HMI with four plastic trays – ideal for presentations, open days, trade fairs
  • Paint in any RAL color
Ladestation
Weiße Roboter-Ladestation - Produktbild

Ladestation

CogniDrive (Navigation)
Roboter Navigation CogniDrive MetraLabs

CogniDrive ist eine Software, durch die ein Fahrzeug in einem Gebäude zu beliebigen Zielpunkten selbsständig fahren kann. Die Orientierung erfolgt anhand vorhandener Strukturen, es müssen keine Sensoren, Linien oder Markierungen angebracht werden. Mit der Anbindung von Low-Cost-Tiefensensoren werden Hindernisse um das Fahrzeug auch dreidimensional erkannt und durch CogniDrive umfahren. Die Freiheit der Navigation kann dabei durch den Anwender mit verschiedenen Parametern nach Bedarf eingestellt werden.CogniDrive kommt bei allen Servicerobotikanwendungen von MetraLabs zum Einsatz, kann aber auch für in andere fahrerlose Transportsysteme integriert werden.

CogniDrive ist modular aufgebaut: Je nach Bedarf kann das Lokalisations-, die Pfadplanungs- und das Hindernisvermeidungsmodul eingesetzt werden. Somit ist es möglich, dass nur einzelne Komponenten für eine Applikation eingesetzt werden. Beispielsweise kann das Lokalisationsmodul separat verwendet und mit einer vorhandenen Bahnsteuerung kombiniert werden. Dies ist insbesondere dann sinnvoll, wenn in Teilen einer Einsatzumgebung die sonst z.B. verwendeten Farblinien aufgrund von Verschmutzungen nicht sicher erkannt werden können. Grundlage für alle Module ist eine selbsterlernte Karte als virtuelles Abbild der Einsatzumgebung, die während der Inbetriebnahme vor Ort mit einfacher Handhabung oder auch durch das Fahrzeug permanent selbst erstellt wird.

Zur Umgebungserkennung und Hindernisvermeidung können verschiedene Sensoren kompatibel integriert und ihre Messergebnisse je nach Situation geeignet fusioniert werden. Ultraschallsensoren, Kameras und Laserscanner verschiedener Hersteller und andere Sensoren, die verschiedene physikalische Prinzipien zur 3D-Wahrnehmung nutzen. Um zusätzliche Hardwarekosten zu sparen, können die bereits vorhandenen Sicherheits-Laserscanner des FTS verwendet werden.

CogniDrive ist adaptierbar für verschiedene Antriebssysteme (z.B. differenziell oder Dreirad). Neben des Bewegungsmodells des Fahrzeugs können auch dessen Dynamik und auch präzise dessen Geometrie berücksichtigt werden, um eine optimale Pfadplanung zu realisieren.

MIRA (Framework)
MIRA - Middleware for Robotic Applications

MIRA – Middleware for Robotic Applications

Plattformübergreifendes Software-Framework, entwickelt für Servicerobotikapplikationen unter Linux und Windows – Download.

Publications

Current

Döring, N., Pöschl, S., Gross, H.-M., Bley, A., Martin, Ch., Böhme, H.-J.
User-Centered Design and Evaluation of a Mobile Shopping Robot.
Int. Journal of Social Robotics (JSR), vol. 7 (2015), pp. 203-225

Gross, H.-M., Debes, K., Einhorn, E., Müller, St., Scheidig, A., Weinrich, Ch., Bley, A., Martin, Ch.
Mobile Robotic Rehabilitation Assistant for Walking and Orientation Training of Stroke Patients: A Report on Work in Progress.
in: Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC 2014), San Diego, USA, pp. 1880-1887, IEEE 2014

Schröter, Ch., Müller, St., Volkhardt, M., Einhorn, E., Huijnen, C., van den Heuvel, H., van Berlo, A. , Bley, A., Gross, H.-M.
Realization and User Evaluation of a Companion Robot for People with Mild Cognitive Impairments.
in: Proc. IEEE Int. Conf. on Robotics and Automation (ICRA), Karlsruhe, Germany, pp. 1145-1151, IEEE 2013

Einhorn, E., Langner, T., Stricker, R., Martin, Ch., Gross, H.-M.
MIRA – Middleware for Robotic Applications.
in: Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Vilamoura, Portugal, pp. 2591-2598, IEEE 2012

Gross, H.-M., Schröter, Ch., Müller, St., Volkhardt, M., Einhorn, E., Bley, A., Langner, T., Merten, M., Huijnen, C., van den Heuvel, H., van Berlo, A.
Further Progress towards a Home Robot Companion for People with Mild Cognitive Impairment.
in: Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), Seoul, South Korea, pp. 637-644, IEEE 2012

Further publications

Merten, M., Bley, A., Schröter, Ch., Gross, H.-M.
A Mobile Robot Platform for Socially Assistive Home-care Applications.
in: Proc. German Conference on Robotics (ROBOTIK), 2012, Munich, Germany, pp. 233-238, publisher VDE 2012

Pöschl, S., Döring, N., Gross, H.-M., Bley, A., Martin, Ch., Böhme, H.-J.
Roboter-gestützte Artikelsuche im Baumarkt.
Zeitschrift für Evaluation (ZfEv), vol. 10 (2011) 1, 99-132

Gross, H.-M., Schröter, Ch., Müller, St., Volkhardt, M., Einhorn, E., Bley, A., Martin, Ch., Langner, T., Merten, M.
Progress in Developing a Socially Assistive Mobile Home Robot Companion for the Elderly with Mild Cognitive Impairment.
in: Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), San Francisco, USA, pp. 2430-2437, IEEE Omnipress 2011

Gross, H.-M., Schröter, Ch., Müller, St., Volkhardt, M., Einhorn, E., Bley, A., Martin, Ch., Langner, T., Merten, M.
I’ll Keep an Eye on You: Home Robot Companion for Elderly People with Cognitive Impairment.
in: IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), Anchorage, USA, pp. 2481-2488, IEEE 2011

Martin, Ch., Steege, F.-F., Gross, H.-M.
Estimation of Pointing Poses for Visually Instructing Mobile Robots under Real-World Conditions.
Robotics and Autonomous Systems (RAS), vol. 58 (2010) 2, pp. 174-185, Elsevier

Pöschl, S., Döring, N., Böhme, H.J., Martin, Ch.
Mensch-Roboter-Interaktion im Baumarkt. Formative Evaluation eines mobilen Shopping-Roboters.
Zeitschrift für Evaluation (ZfEv), vol. 8 (2009) 1, 27-58

Gross, H.-M., Böhme, H.-J., Schröter, Ch., Müller, St., König, A., Einhorn, E., Martin, Ch., Merten, M., Bley, A.
TOOMAS: Interactive Shopping Guide Robots in Everyday Use – Final Implementation and Experiences from Long-Term Field Trials.
in: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), St. Louis, USA, pp. 2005-2012, IEEE 2009

Stricker, R., Martin, Ch., Gross, H.-M.
Increasing the Robustness of 2D Active Appearance Models for Real-World Applications.
in: Proc. Int. Conf. on Computer Vision Systems (ICVS), Liege, LNCS 5815, pp. 364-373, Springer 2009

Pöschl, S., Döring, N. Böhme, H.J. & Martin, Ch.
Computergestützte Artikelsuche im Baumarkt – Formative Evaluation eines Artikelsuchsystems für mobile Shopping-Roboter.
Zeitschrift für Evaluation (ZfEv), vol. 7 (2008), S. 113-135

Gross, H.-M., Böhme, H.-J., Schröter, Ch., Müller, St., König, A., Martin, Ch., Merten, M., Bley, A.
ShopBot: Progress in Developing an Interactive Mobile Shopping Assistant for Everyday Use.
in: Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (SMC), Singapore, pp. 3471-3478, IEEE 2008

Martin, Ch., Werner, U., Gross, H.-M.
A Real-time Facial Expression Recognition System based on Active Appearance Models using Gray Images and Edge Images.
in: Proc. of the IEEE Int. Conf. on Face and Gesture Recognition (FG), Amsterdam, paper no. 299, 6 pages, IEEE

Richarz, J., Scheidig, A., Martin, Ch., Müller, St., Gross, H.-M.
A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile Robot.
International Journal of Advanced Robotic Systems (IJARS), vol. 4, No. 1 (2007), pp. 139-150

Martin, Ch., Schaffernicht, E., Scheidig, A., Gross, H.-M.
Multi-Modal Sensor Fusion Using a Probabilistic Aggregation Scheme for People Detection and Tracking.
Robotics and Autonomous Systems (RAS), vol. 54, (2006) 9, pp. 721-728, Elsevier ScienceDirect

Thrun, S., Martin, Ch., Yufeng Liu, Hähnel, D., Emery-Montemerlo, R., Chakrabarti, D. and Burgard, W.
A Real-Time Expectation Maximization Algorithm for Acquiring Multi-Planar Maps of Indoor Environments with Mobile Robots.
IEEE Transactions on Robotics and Automation (TRA), vol. 20 (2003), pp. 433-442

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