Fielded Human-Robot Interaction for a Heterogeneous Team in the DARPA Subterranean Challenge

Author:

Riley Danny G.1ORCID,Frew Eric W.1ORCID

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

Reference37 articles.

1. NeBula: Quest for robotic autonomy in challenging environments; TEAM CoSTAR at the DARPA subterranean challenge;Agha Ali;ArXiv,2021

2. Shakeeb Ahmad and J. Sean Humbert. 2022. Efficient sampling-based planning for subterranean exploration. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. Under review.

3. 3D Reactive Control and Frontier-Based Exploration for Unstructured Environments

4. Tung Dang, Shehryar Khattak, Frank Mascarich, and Kostas Alexis. 2019. Explore locally, plan globally: A path planning framework for autonomous robotic exploration in subterranean environments. In 2019 19th International Conference on Advanced Robotics (ICAR). IEEE, 9–16.

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