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Thread: Barrett Technology Inc., robotic arms and hands, Cambridge, Massachusetts, USA

  1. #1

    Barrett Technology Inc., robotic arms and hands, Cambridge, Massachusetts, USA

    Website - barrett.com

    youtube.com/BarrettTechnology

    facebook.com/barretttech

    twitter.com/BarrettTechInc

    twitter.com/BarrettMedical

    linkedin.com/company/barrett-technology-llc

    Barrett Technology on Wikipedia

    Founder, President and CEO - Bill Townsend

    Products and projects:

    Burt, rehabilitation robot

    Proficio, rehabilitation robotic arm

    BarrettHand, multi-fingered programmable grasper

    WAM Arm, highly dexterous, naturally backdrivable manipulator

  2. #2


    Barrett Technology Demos Robotnik's Summit Omni XL Mobile Platform

    Published on Jan 6, 2013

    In this video Barrett Technology Inc., exclusive North American reseller of Robotnik's Summit Omni XL Mobile Platform, demonstrates the Summit in action. The product features unique Mecanum wheels for maximum positioning versatility.

  3. #3


    Obstacle Removal and Object Retrieval

    Published on Apr 12, 2012

    Barrett Technology Inc. and Robotnik provide a fully integrated mobile robotic platform. This example shows the WAM and Robotnik's mobile platform moving objects impeding travel. Retrieval of objects utilizing Robotnik's on board video camera is also demonstrated.

  4. #4


    Barrett Technology/Robotnik Platform

    Published on Apr 12, 2012

    Barrett Technology Inc. and Robotnik provide a fully integrated mobile robotic platform.

  5. #5


    Barrett Hand opening car door internally

    Uploaded on Aug 2, 2011

    Barrett Hand opens a car door from the inside.

  6. #6


    Bill Townsend Introduces Newest WAM Arm

    Uploaded on Nov 18, 2010

    Bill Townsend, CEO of Barrett Technology, introduces the latest WAM Arm technology.

  7. #7


    Towards Learning Robot Table Tennis

    Published on May 24, 2012

    This video demonstrates how a Barrett WAM arm uses our mixture of motor primitives (MoMP) algorithm to learn successful hitting movements in table tennis using imitation and reinforcement Learning.

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