Title :
In situ interactive teaching of trustworthy robotic assistants
Author :
Remy, Sekou ; Howard, Ayanna M.
Author_Institution :
Georgia Inst. of Technol., Atlanta
Abstract :
In this paper we discuss a method for transferring human knowledge to a robotic platform via teleoperation. The method combines unsupervised clustering and classification with interactive instruction to enable behavior capture in a transferable form. We discuss the approach in both simulation and robotic hardware platform to show the capability of the learning system. In this work we also present a definition and associated metric for trustworthiness, and relate this quantity to system performance. Improved performance and trustworthiness are motivations for our application of interactive learning, and we present results that indicate that these were indeed attained.
Keywords :
interactive systems; pattern classification; pattern clustering; telerobotics; unsupervised learning; human knowledge transfer; in situ interactive teaching; interactive robotic learning system; teleoperation; trustworthy robotic assistants; unsupervised classification; unsupervised clustering; Education; Educational robots; Hardware; Human robot interaction; Knowledge engineering; Learning systems; Navigation; Orbital robotics; Robot sensing systems; Sensor phenomena and characterization;
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
DOI :
10.1109/ICSMC.2007.4414025
