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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HERB – Home Exploring Robotic Butler from CMU / Intel

HERB is a mobile manipulation platform built on a Segway RMP by Intel Research Pittsburgh, in collaboration with the Robotics Institute at Carnegie Mellon University. HERB can perform real-world tasks, such as opening refrigerator and cabinet doors, finding and collecting coffee mugs, and throwing away trash. HERB is powered by ROS and a variety of open-source libraries, including several developed by CMU researchers, like OpenRAVE and GATMO

For more info on HERB, read this article at eweek.com

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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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Mobile manipulation research with an RMP 400

Using an RMP 400 as a test bed, Idaho National Lab (INL) and the Robotics Research Group at the University of Texas at Austin (RRG) integrated INL’s modular control software, RIK (Robot Intelligence Kernel) with RRG’s manipulation control software framework, OSCAR (Operational Software Components for Advanced Robotics) to develop an improved interface for robotic operation and control of mobile manipulation. The resulting system improves operator effectiveness by supplementing teleoperated control with optional automation of tasks such as navigation and target acquisition.

Photo credit(s): RRG

(Photo: RRG)

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