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Thread: Baxter, industrial and research robot, Rethink Robotics GmbH, Bochum, Germany

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    Baxter, industrial and research robot, Rethink Robotics GmbH, Bochum, Germany


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    Baxter the robot ready to go

    Published on Mar 13, 2013

    Matt Fitzgerald of Rethink Robotics demonstrates Baxter, an adaptive manufacturing robot, to potential clients during the Association for Advancing Automation's convention in McCormick Place in Chicago, on January 21, 2013. (Zbigniew Bzdak, Chicago Tribune)

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    Rethink Robotics Baxter intro
    from Eikon Mobile
    April 8, 2014

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    Baxter Research Robot Speaks Out

    Published on Apr 22, 2014

    Active Robots has developed a program that shows the Baxter Research Robot from Rethink Robotics introducing itself: Integrating a Text-to-Speech engine with the Baxter Research Robot Software Development Kit to allow the Baxter Research Robot to communicate with us more effectively. Here the robot lets us know a little bit about itself, including its unique compliant joint architecture and how it can be used in Manufacturing, Academic and also Corporate Research & Development.

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    Tom Strong meets the Baxter Research Robot by ReThink Robotics at Active Robots

    Published on May 3, 2014

    Here is the Baxter Research Robot -- I am very impressed with the wide range of capabilities that Baxter offers at an affordable price.
    I am glad to find out that several British Universities already have this excellent research resource.

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    Robot makes an ice cream when you talk to it

    Published on Jun 30, 2014

    Full story: "Make robots useful by teaching them to talk like us"

    by Aviva Rutkin
    June 27, 2014

    Teaching robots how to handle the complex ways that humans communicate will make them better at dealing with our requests -- or asking for help

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    Baxter Robots performing to "Happy" song by Pharrell Williams

    Published on Jun 19, 2014

    Mod and Sim students teamed up to create this fun video of the Baxter Robot by ReThink Robotics, working happily to their favorite song.

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    Interpreting Multimodal Referring Expressions in Real Time
    from David Whitney
    October 1, 2014

    Robots that collaborate with humans must be able to identify objects used for shared tasks, for example tools such as a knife for assistance at cooking, or parts such as a screw on a factory floor. Humans communicate about objects using language and gesture, fusing information from multiple modalities over time. Existing work has addressed this problem in single modalities, such as natural language or gesture, or fused modalities in non-realtime systems, but a gap remains in creating systems that simultaneously fuse information from language and gesture over time. To address this problem, we define a multimodal Bayes’ filter for interpreting referring expressions to objects. Our approach outputs a distribution over the referent object at 14Hz, updating dynamically as it receives new observations of the person’s spoken words and gestures. This real-time update enables a robot to dynamically respond with backchannel feedback while a person is still communi- cating, pointing toward a mathematical framework for human- robot communication as a joint activity [Clark, 1996]. Moreover, our approach takes into account rich timing information in the language as words are spoken by processing incremental output from the speech recognition system, traditionally ignored when processing a command as an entire sentence. It quickly adapts when the person refers to a new object. We collected a new dataset of people referring to objects in a tabletop setting and demonstrate that our approach is able to infer the correct object with 90% accuracy. Additionally, we demonstrate that our approach enables a Baxter robot to provide back-channel responses in real-time.

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