1. Social Robots Ep1

    01:38

    from FreshlySharpened.com / Added

    7 Plays / / 0 Comments

    This video gives an introduction into the Social Robots Exhibit at The Tech Museum of Innovation.

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    • LIREC: explaining migration

      02:32

      from Lirec / Added

      24 Plays / / 0 Comments

      How the LIREC project explored the idea of robots migrating from one embodiement to the next.

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      • Inventing the Future, Ep. 1 - "Wanted: Coach. Companion. Robot."

        03:14

        from USC Viterbi / Added

        1,980 Plays / / 0 Comments

        There are 800,000 new stroke victims every year. That number will double in the next 20 years. The question is: who will take care of these patients? Imagine a robot — one that can be purchased for the price of a high-end laptop — that never gets tired, never gets impatient, that responds to all of your moods. Monitoring, coaching, motivating.  A  24/7 companion. These aren't robots that will replace human care — these are robots that will bridge the gaps in human care. Find out more about robotics at USC Viterbi: http://cres.usc.edu/Home/

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        • Ollie

          02:00

          from Pritika Nilaratna / Added

          63.7K Plays / / 2 Comments

          Robotics increasingly pervade our everyday lives. Machine-human interaction has the potential to be both poetic and ubiquitous. Ollie, the autonomous robotic blimp, is a demonstration of the creative capabilities of robots as inhabitants of our society, breaking the stereotype of the servile robot. Ollie is observant, often flying in a manner suggesting curiosity for the world around him. Ollie reacts to voices by excitedly flapping his wings, communicating his friendliness and eagerness to be noticed. The technology behind Ollie is open source and available to artists, Do-it-yourself enthusiasts and students to further encourage creative computing and collaboration. Website www.meandollie.com Music "Sawmill" by Gurdonark dig.ccmixter.org/​dig?user=gurdonark ©Pritika Nilaratna 2011

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          • Teleoperated Nexi

            00:57

            from Jin Joo Lee / Added

            231 Plays / / 0 Comments

            When meeting someone for the first time, we can walk away with a sense of how much we trust that person from our brief interaction. Beyond the contents of the conversation, we can intuitively feel and answer "How much can I trust this person?" This intuition to evaluate trustworthiness in others could possibly stem from non-verbal cues. More specifically, mimicry has been proposed to have an adaptive value with respect to social learning and bonding, which may foster empathy and affiliative tendencies. Mimicking the postures and mannerisms of an interaction partner may allow a person to embody that partner’s emotions/goals/motivations—leading to more accurate intuitions about trustworthiness. The Human-Robot-Trust (HRT) project in conjunction with Northeastern University and Cornell University is investigating non-conscious mimicry as a powerful cue that can reveal information about trustworthiness not only between humans but also between robots and humans. In using robots, we can investigate whether this behavior can translate and replicate onto humanoid robots. And also by using a robotic system, we can take advantage of its controlled behavior to advance our understanding of mimicry and its role in trust. For this research, we have developed a system that allows remote robot operators to have a conversation with a person through the robot while simultaneously controlling the robot’s movement as effortlessly as possible. In order to achieve a natural social interaction as possible, the components of our system combines various fully-autonomous and semi-autonomous interfaces to teleoperate our humanoid robot, Nexi.

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            • Modeling the Dynamics of Social Interactions to Design for More Effective Human-Robot Interactions

              01:27

              from Jin Joo Lee / Added

              184 Plays / / 0 Comments

              Much like a personal computer, robots can become a technology that is a part of our daily lives. And as robots began to interact with us, they need to be capable of perceiving and understanding our social nuances to effectively communicate with us. For my Masters Thesis, I am exploring nonverbal cues to design robots capable of “socially synching.” Research in human social psychology has found that mimicry and synchronous movement behavior are building blocks in fostering trust and rapport between people. To model such behaviors, we need a full-body digital perception of how people move in a social interaction. By using motion capture technology like the Xbox kinect, we can track the body movements of people. And through this head to toe representation, we can model the dynamics of social interactions between people in order to design for more effective human-robot interactions.

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