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Teleoperation and Visualization Interfaces for Remote Intervention in Space.

Peter Kazanzides1,2, Balazs P Vagvolgyi2, Will Pryor1,2

  • 1Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States.

Frontiers in Robotics and AI
|December 20, 2021
PubMed
Summary
This summary is machine-generated.

Teleoperation for robotic in-space servicing requires effective human-robot interfaces. A model-based architecture improves visualization and control, enhancing situation awareness for satellite servicing tasks despite communication delays.

Keywords:
model-mediated controlsatellite servicingscene modelingspace roboticsteleoperation

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Area of Science:

  • Robotics
  • Space Engineering
  • Human-Computer Interaction

Background:

  • Robotic operations in space, including manufacturing, assembly, and servicing, necessitate human oversight, ranging from full autonomy to direct teleoperation.
  • Significant telemetry time delays pose challenges for effective remote control and operator interfaces in space-based robotic systems.

Purpose of the Study:

  • To present a model-based architecture for enhancing teleoperation of on-orbit robots for satellite servicing.
  • To improve visualization, situation awareness, human-robot interaction, and task failure detection in remote robotic operations.

Main Methods:

  • Developed and evaluated a model-based architecture for teleoperation.
  • Conducted multi-user experiments on ground-based platforms simulating satellite servicing tasks with communication latencies.
  • Focused on improving visualization, situation awareness, and precise motion specification for operators.

Main Results:

  • Enhanced operator situation awareness through improved visualization and precise motion specification led to significant performance gains.
  • Model-mediated control and immersive 3D environments reduced task load but did not substantially improve task performance.
  • The architecture effectively detected task failures via anomalous sensor feedback.

Conclusions:

  • Teleoperation will remain crucial for in-situ robotic servicing, assembly, and manufacturing in space.
  • A model-based architecture, fusing real and virtual views with interactive planning and error detection, is key to enabling effective teleoperation despite time delays.