Real-time photorealistic virtualized reality interface for remote mobile robot control

  • Authors:
  • Alonzo Kelly;Nicholas Chan;Herman Herman;Daniel Huber;Robert Meyers;Pete Rander;Randy Warner;Jason Ziglar;Erin Capstick

  • Affiliations:
  • Robotics Institute, Carnegie Mellon University, Pittsburgh,PA, USA;Robotics Institute, Carnegie Mellon University, Pittsburgh,PA, USA;Robotics Institute, Carnegie Mellon University, Pittsburgh,PA, USA;Robotics Institute, Carnegie Mellon University, Pittsburgh,PA, USA;Robotics Institute, Carnegie Mellon University, Pittsburgh,PA, USA;Robotics Institute, Carnegie Mellon University, Pittsburgh,PA, USA;Robotics Institute, Carnegie Mellon University, Pittsburgh,PA, USA;Robotics Institute, Carnegie Mellon University, Pittsburgh,PA, USA;DCS Corporation, Alexandria, VA, USA

  • Venue:
  • International Journal of Robotics Research
  • Year:
  • 2011

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Abstract

The task of teleoperating a robot over a wireless video link is known to be very difficult. Teleoperation becomes even more difficult when the robot is surrounded by dense obstacles, or speed requirements are high, or video quality is poor, or wireless links are subject to latency. Due to high-quality lidar data, and improvements in computing and video compression, virtualized reality has the capacity to dramatically improve teleoperation performance 芒聙聰 even in high-speed situations that were formerly impossible. In this paper, we demonstrate the conversion of dense geometry and appearance data, generated on-the-move by a mobile robot, into a photorealistic rendering model that gives the user a synthetic exterior line-of-sight view of the robot, including the context of its surrounding terrain. This technique converts teleoperation into virtual line-of-sight remote control. The underlying metrically consistent environment model also introduces the capacity to remove latency and enhance video compression. Display quality is sufficiently high that the user experience is similar to a driving video game where the surfaces used are textured with live video.