rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Can robots learn to be more human?
  name:
    name part: National Geographic Television & Film
    role:
      role term: production company.
  type of resource: moving image
  genre: videorecording
  genre: Science films.
  genre: Films scientifiques.
  origin info:
    place:
      place term: dcu
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (3 min.)
  abstract: U.S. computer scientist and roboticist Chad Jenkins, associate professor of computer science at Brown University, leads a research group that explores topics related to human-robot interaction and robot learning, with a specific focus on robots learning from human demonstration. Using this approach, the group has trained robots to accomplish tasks such as navigating a basic maze and cleaning a messy room. The greater the number and variety of demonstrations a robot sees, the better it masters the task. Jenkins uses crowd sourcing to expose robots to a wealth of demonstrations. Over the past few years, hundreds of people have participated in training his lab's robots by logging on to the group's website and controlling robots to improve at block stacking, soccer and household chores. Jenkins, currently on sabbatical at the robotics company Willow Garage, predicts widespread use of robots will change society in the near future similar to how personal computing has over the last 30 years. Jenkins is a 2013 National Geographic Emerging Explorer.
  target audience: adult
  note: [produced by] National Geographic.
  note: Title from resource description page (viewed July 20, 2017).
  note: In English.
  subject:
    topic: Robots
    topic: Control systems
  subject:
    topic: Robotics
    topic: Human factors
  subject:
    topic: Human-robot interaction
  subject:
    topic: Robots
    topic: Systèmes de commande
  subject:
    topic: Robotique
    topic: Facteurs humains
  subject:
    topic: Interaction homme-robot
  subject:
    topic: Human robot interaction
  subject:
    topic: Robotics
    topic: Human factors
  subject:
    topic: Robots
    topic: Control systems
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: ALSTP
    record creation date: 170720
    record change date: 20241201233724.4
    record identifier: in00005577969
    language of cataloging:
      language term: eng