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dc.contributor.authorPark, Hae Won
dc.contributor.authorCoogle, Richard A.
dc.contributor.authorHoward, Ayanna M.
dc.date.accessioned2015-09-04T15:58:07Z
dc.date.available2015-09-04T15:58:07Z
dc.date.issued2014
dc.identifier.citationPark, H. W.; Coogle, R. A.; & Howard, A. (2014). Using a shared tablet workspace for interactive demonstrations during human-robot learning scenarios". 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), May 31 2014-June 7 2014, pp. 2713-2719.en_US
dc.identifier.urihttp://hdl.handle.net/1853/53806
dc.description© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en_US
dc.description2014 IEEE International Conference on Robotics and Automation (ICRA 2014), May 31 2014-June 7 2014, Hong Kong, China.
dc.descriptionDOI: 10.1109/ICRA.2014.6907248
dc.description.abstractOne of the key elements for building a long-term robotic companion is incorporating the ability for a robot to continuously learn and engage in new tasks. Utilizing a defined workspace that provides various shared content between human and robot could assist in this learning process. Here, we propose integrating a touchscreen tablet and a robot learner for engaging the user during human-robot interaction scenarios. The robot learner’s domain-independent core reasoner follows the structure of instance-based learning which addresses the issues of acquiring knowledge, encoding cases, and learning a retrieval metric. The system utilizes demonstrations provided by the user to auto-populate the knowledge base through natural interaction methods, encodes cases based on the feature structure provided by the user, and uses an adaptive-weighting technique to design a retrieval metric with linear regression in the feature-distance space. Through a tablet environment, the user teaches a task to the robot in a shared workspace and intuitively monitors the robot’s behavior and progress in real time. In this setting, the user is able to interrupt the robot and provide necessary demonstrations at the moment learning is taking place, thus providing a means to continuously engage both the participant and the robot in the learning cycle.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectHuman-robot interactionen_US
dc.subjectRobot learneren_US
dc.subjectShared workspaceen_US
dc.subjectTouchscreen tableten_US
dc.titleUsing a Shared Tablet Workspace for Interactive Demonstrations during Human-Robot Learning Scenariosen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machinesen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineeringen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Human-Automation Systems Laben_US
dc.publisher.originalInstitute of Electrical and Electronics Engineers
dc.embargo.termsnullen_US


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