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Mobile research platforms

SCITOS G5
Universal base

Mobile Roboterplattform - SCITOS G5

SCITOS G5 is our universal mobile base which is suited for a multitude of research applications due to its modular construction:

  • Human-Machine interaction
  • Navigation
  • Obstacle avoidance
  • Mobile manipulation

Specifications

  • Dimensions: 570 mm x 735 mm x 610 mm (H x L x W)
  • Differential drive
  • Ground clearance: 20 mm
  • Maximum velocity: 1.4 m/s
  • Load capacity: 50 kg
  • Dead-weight: 60 kg
  • Battery life: 18h on a single charge / 6h charging time
  • Embedded PC with Intel i7-CPU and Wi-Fi
  • Safety bumper socket
  • Ready for public use
SCITOS G3
Home Care System

Mobiler-Roboter-SCITOS-G3-MetraLabs

SCITOS G3 – a research platform for social robots and domestic applications. It is highly usable both standing up and sitting down.

Specifications

  • Dimensions: 495 mm x 495 mm x 1190 mm (H x L x W)
  • Differential drive
  • Ground clearance: 15 mm
  • Maximum velocity: 0.8 m/s
  • Dead-weight: 60 kg
  • Pivoted 15,4″ touch display (1280×800)
  • 2x 3,5″ eye displays (320×240)
  • Battery life: 16h on a single charge / 6h charging time
  • Embedded PC with Intel i7-CPU and Wi-Fi
  • SICK S300 safety laser scanner
  • Asus Xtion Pro
  • Safety bumper socket
SCITOS X3
X3

Mobile Roboter - SCITOS X3

SCITOS X3 is a mobile base that was developed specifically for transportation, mobile manipulation and narrow environments.

Specifications

  • Dimensions: 436 mm x 710 mm x 470 mm (H x L x W)
  • Differential drive
  • Can turn on the spot
  • Ground clearance: 15 mm
  • Maximum velocity: 1.4 m/s
  • Load capacity: 100 kg
  • Dead-weight: 50 kg
  • Battery life: 18h on a single charge / 6h charging time
  • Embedded PC with Intel i7-CPU and Wi-Fi
  • Safety bumper socket

Peripherals

Sensors

SCITOS G5 Plattform mit Kamera-Sensor

Sensors

  • Safety laser scanner SICK S300 Standard/Advanced/Professional
  • Safety laser scann LEUZE Rotoscan RS4-2E
  • Cameras DFK 21BF04, DFK 31BF03 including lenses and drivers
  • Asus Xtion Pro / Kinect / Kinect 2
  • TeraRanger One
  • Integration of a Pan-Tilt-Unit by request
Robotic arms

Kinova Jaco2 Roboterarm Produktbild

KINOVA JACO2 – SIMPLE, SEXY, SAFE

Specifications:

6 DOF
Range: 74 cm
Weight: 4.4 kg
Load capacity: 2.6 kg / 2.2 kg at maximum extension
Carbon structure
incl. power supply, joystick, transport case, SDK for Linux and Windows, optional two or three digit manipulator

Human-Machine interaction

Mobiler-Roboter-HMI_MetraLabs

HMI – touch display unit

  • Height: 760 mm
  • Weight: 7,5 kg
  • 15″ TFT display (1.024×768 pixel)
  • Different types of touch screen technologies
  • 10W stereo speaker
  • 2 omnidirectional speakers
  • Asus Xtion Pro Live sensor
  • Aluminum rail for peripheral additions to the SCITOS G5 platform
  • Plugin for MIRA
  • Reusable transport box

RoboHead

  • mechanical robot head, 5 DOF (rotate, tilt, opening and closing of the eyelids, moving the eyes)
  • 32 LEDs to display basic status messages
  • Transparent plastic shell
  • Plugin for MIRA
  • Addition to the HMI

HMI shell

  • Casing the HMI with four plastic shells – ideal for presentations, open days and trade fairs
  • Varnishing in any desired RAL color
  • Addition to the SCITOS G5, HMI and RoboHead
Charging station

Weiße Roboter-Ladestation - Produktbild

Charging station

CogniDrive (navigation)

Roboter Navigation CogniDrive MetraLabs

CogniDrive is a software system that enables vehicles to navigate to arbitrary goal points in an environment. Its localization uses existing environmental structures, so additional sensors or markings are not required. By integrating low-cost depth sensors, obstacles close to the vehicle can be perceived and avoided in 3D. The navigation behaviour is highly configurable and customizable to user needs via a multitude of parameters. CogniDrive is used in all of MetraLabs’ service robotics applications, but can also be integrated into other automated guided vehicles.

CogniDrive is modular: The localization, path planning and obstacle avoidance modules can be used separately or together, depending on the use case. This enables customizing the software for specific applications. For example, the localization module can be used on its own and can be combined with existing controllers. This is especially useful if existing means of localization tend to fail in certain parts of the environment, e.g. due to pollution of visual markers. All modules operate on a virtual map of the environment structure which can be precisely taught during commissioning or constantly estimated by the vehicle during operation.

Different sensors can be integrated for environment and obstacle perception, and their measurements can be fused depending on the current situation. Ultrasonic sensors, cameras and laser range finders of different manufacturers, as well as sensors using various physical principles for 3D perception, have been integrated successfully. By using the existing safety laser scanners of the AGV the expenditure for additional sensors can be minimized.

CogniDrive can be adapted to various drive systems (e.g. differential or tricycle drives). To achieve optimal navigation performance, both the kinematics as well as the geometry and dynamics of the vehicle will be considered for path planning.

MIRA (framework)

MIRA - Middleware for Robotic Applications

MIRA – Middleware for Robotic Applications

Cross-platform software framework developed for service robotics applications in Linux and Windows – download.

Publications

Latest

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

More releases

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

Stepping stone for innovative research!

Start your project with the right mobile base.

Robust base

Our robot systems offer your research projects a highly innovative platform, combining both newest technological developments and established industrial technologies.

Powerful cooperation

We have experience cooperating with several universities and are always open for new compound research projects.

Fast feasibility analysis

Our mobile robot platforms provide all fundamental functionality to enable fast realization and testing of scenarios.

Great flexibility

The modular construction of our platform enables individual customization to your specific requirements.

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