Demand Grows for Live-Fire Robotic Targets

 

RMP Marathon Targets Australia’s Marathon Targets plans to more than double the number of live-fire moving trainers for the Australian Army by the end of the year.

Marathon’s systems are developed on both the Segway RMP 200 and RMP 400.

The objective is to train soldiers to shoot live ammunition at human-like moving targets before heading into actual combat situations.

  • Would you like to know more? Check out the full article on The Marine Corps Times.
  • Download Marathon’s Smart Target Spec Sheet
  • Watch Marathon’s Smart Target Videos
  • For more information on Segway’s full line of Robotics Mobility Platforms (RMPs), please contact us.

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Segway Robotic Platforms Demonstrated at Quantico

Sharpshooters from 100 yards out

Sharpshooters from 100 yards out

Marathon Targets (http://www.marathon-targets.com/) successfully demonstrated their smart target system during a live fire demonstration at Quantico Marine Base. Marathon’s systems are developed on both the Segway RMP200 and RMP400. To view a short video of the demonstration, click here.

For more information on the full line of Segway’s robotic platforms, please visit http://rmp.segway.com/.

Marathon Targets developed on RMP200

Marathon Targets developed on Segway RMP200

Marathon Targets developed on Segway RMP400

Marathon Targets developed on Segway RMP400

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Humanoid mobile robot “Cody” from Georgia Tech Robotics Lab

Georgia Tech’s Healthcare Robotics Lab built a new humanoid mobile robot named “Cody” using a Segway RMP 50 Omni mobile robot platform, 1-DoF vertical linear actuator, and a pair of 7-DoF Meka Arms with series elastic actuators. Watch the video below to view Cody in action.

GA Tech Cody Mobile Robot
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ARC Centre for Autonomous Systems enters RoboCup 2010

The Australian Research Council (ARC) Centre for Autonomous Systems (CAS) entered the RoboCup@Home competition this year with a new personal assistance robot built on a Segway RMP 100 mobile robot platform. The CAS is the second largest robotics research group in the world with representation from the University of Sydney, the University of New South Wales and the University of Technology Sydney

The RoboCup@Home competition judges navigation, mapping, object recognition, and human-robot interaction in realistic, home-like environments. RoboCup@Home is the largest international annual competition for autonomous service robots.

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GAVLAB – Autonomous mapping with an RMP 400

The GPS and Vehicle Dynamics Laboratory at Auburn University (GAVLAB) and the Army Corp of Engineers Huntsville Center developed an RMP 400 based mobile robot system capable of autonomously mapping a given field for the purpose of finding unexploded ordnance (UXO). A combination of GPS and INS are used for navigation, while the trailer carries two Geonics EM61-Mk2 metal detectors. The video below shows the robot in action at a range in the Great Salt Plains area of Oklahoma.

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Balancing “Segbot” in use at the Oxford Mobile Robotics Group

The Oxford Mobile Robotics Group (MRG) researches many aspects of mobile autonomy with an emphasis on perception and understanding large work spaces. To facilitate this work, the MRG developed an RMP based “Segbot” named “Lisa” that features two SICK LMS 291 laser scanners, a Ladybug camera, and a Bumblebee stereo camera.

Oxford Robotics Segbot
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3D mapping research with an RMP at Bosch RTC

The Bosch Research and Technology Center (RTC) is using Willow Garage’s open source Robot Operating System (ROS) together with a Segway RMP to research robotic exploration, 3D mapping, and telepresence. Read more about this project at ROS.org here

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University of Delaware Team Wins Awards at Robot Competition

Congrats to the “Warthog” team on winning the 2009 Intelligent Ground Vehicle Competition (IGVC) Autonomous Challenge AND placing third in the Navigation Challenge!

The “Warthog” robot is an RMP 400 equipped with a laser range finder, color camera, and differential global positioning system (GPS) that won “Rookie of the Year” in 2007 when the University of Delaware’s Dynamic Vision Lab first entered it in the IGVC.

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