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ICRA 2019

End-User Robot Programming Using Mixed Reality

Conference Paper Accepted Paper Artificial Intelligence ยท Robotics

Abstract

Mixed Reality (MR) is a promising interface for robot programming because it can project an immersive 3D visualization of a robot's intended movement onto the real world. MR can also support hand gestures, which provide an intuitive way for users to construct and modify robot motions. We present a Mixed Reality Head-Mounted Display (MRHMD) interface that enables end-users to easily create and edit robot motions using waypoints. We describe a user study where 20 participants were asked to program a robot arm using 2D and MR interfaces to perform two pick-and-place tasks. In the primitive task, participants created typical pickand-place programs. In the adapted task, participants adapted their primitive programs to address a more complex pickand-place scenario, which included obstacles and conditional reasoning. Compared to the 2D interface, a higher number of users were able to complete both tasks in significantly less time, and reported experiencing lower cognitive workload, higher usability, and higher naturalness with the MR-HMD interface.

Authors

Keywords

  • Task analysis
  • Visualization
  • Two dimensional displays
  • Virtual reality
  • Programming
  • Robot sensing systems
  • Mixed Reality
  • Robot Programming
  • High Use
  • Cognitive Load
  • User Study
  • Application Programming Interface
  • Robotic Arm
  • Robot Motion
  • Hand Gestures
  • Low Workload
  • Task Completion
  • Workspace
  • Graphical User Interface
  • Welding
  • Path Planning
  • Physical Demands
  • Hologram
  • 7-point Likert-type Scale
  • Higher Completion Rates
  • Virtual Reality Headset
  • NASA Task Load Index
  • Task Completion Time
  • Inverse Reinforcement Learning
  • Visual Programming
  • System Usability Scale
  • Robot Trajectory
  • Real Robot
  • Motion Primitives

Context

Venue
IEEE International Conference on Robotics and Automation
Archive span
1984-2025
Indexed papers
30179
Paper id
611714077832346240