Carnegie Mellon University
Browse
file.pdf (650.37 kB)

People Helping Robots Helping People: Crowdsourcing for Grasping Novel Objects

Download (650.37 kB)
journal contribution
posted on 2010-10-01, 00:00 authored by Alexander Sorokin, Dmitry Berenson, Siddhartha SrinivasaSiddhartha Srinivasa, Martial Hebert

For successful deployment, personal robots must adapt to ever-changing indoor environments. While dealing with novel objects is a largely unsolved challenge in AI, it is easy for people. In this paper we present a framework for robot supervision through Amazon Mechanical Turk. Unlike traditional models of teleoperation, people provide semantic information about the world and subjective judgements. The robot then autonomously utilizes the additional information to enhance its capabilities. The information can be collected on demand in large volumes and at low cost. We demonstrate our approach on the task of grasping unknown objects.

History

Date

2010-10-01

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC