Affiliation:
1. University of Colorado Boulder, USA
Abstract
Human supervision of multiple fielded robots is a challenging task which requires a thoughtful design and implementation of both the underlying infrastructure and the human interface. It also requires a skilled human able to manage the workload and understand when to trust the autonomy, or manually intervene. We present an end-to-end system for human-robot interaction with a heterogeneous team of robots in complex, communication-limited environments. The system includes the communication infrastructure, autonomy interaction, and human interface elements. Results of the DARPA Subterranean Challenge Final Systems Competition are presented as a case study of the design and analyze the shortcomings of the system.
Funder
DARPA Subterranean Challenge
Publisher
Association for Computing Machinery (ACM)
Subject
Artificial Intelligence,Human-Computer Interaction
Cited by
1 articles.
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1. Multi-Ground-Robot System 3D Map Merging Method Based on Global Localization and Robust ICP;2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI);2023-12-01