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U.S. Marines training for Middle East combat will have a newer, smarter enemy target to shoot at in the fall. They will be using targets built atop on both the Segway RMP200 and RMP400. Australian-based Marathon Robotics recently sold their robot practice targets to the United States Marines. Watch the video below for more information.
For more information on the full line of Segway’s robotic platforms, click here.
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/.
Segway ground robot platforms are the ideal starting point for applications used in research and development at universities. Segway’s RMPs are designed with simplicity in mind, which means that universities will have the freedom to choose and integrate the best hardware for their specific application.
They have designed the PhillieBot, which is a one armed, three-wheeled robot built atop a Segway RMP 200. The PhillieBot has recently thrown the opening pitch at a Philadelphia Phillies game. To learn more about the PhillieBot, check out the video below.
For more info about research and development opportunities please contact us or request a quote. For more information about the PhillieBot, click here.
The URUS project is focused on designing a network of mobile robots that interact with human beings and the environment. The project integrates cooperating urban robots, intelligent sensors, intelligent devices, and communications. Team members include the Institut de Robótica i Informática Industria (IRI), Universitat Politécnica de Catalunya (UPC), and others.
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
Segway Inc. will supply its RMP mobile robot platforms to Marathon Robotics as part of a $50 Million contract with the U.S. Marine Corps (USMC).
Marathon Robotics has spent the last 8 year perfecting an integrated system of target practice mobile robots that will revolutionize the quality and effectiveness of live-fire training. The Segway RMP continues to be their preferred mobile robot platform due to its speed, agility, and robustness.
For more information, please see the Marathon Robotics press release
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.
The MDS (mobile, dextrous, social) robot combines mobile manipulation with verbal capabilities as well as facial expressions. Built on a Segway RMP 200 base platform, the MDS robot features laser and infrared rangefinders, color CCDs, microphones, and 7DOF hands. According to Xitome’s website, the RMP “provides a small footprint and ultimate maneuverability”. MDS is now available for purchase from Xitome.
The MDS ”Ocatvia” in the video below belongs to the US Navy. Developed to improve robot interactions with humans, the Navy Center for Applied Research in Artificial Intelligence (NCARAI) outfitted Octavia with a Fast Linear Optical Appearance Tracker (FLOAT) system, Head Gesture Recognizer, Set Theoretic Anatomical Tracker (STAT), a VLAD Recognizer, and a “modified cognitive architecture” called ACT-R/E.
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.
