Developing Principles for Effective Human Collaboration with Free-Flying Robots

Metadata Updated: May 2, 2019

Aerial robots hold great promise in supporting human activities during space missions and terrestrial operations. For example, free-flying robots may automate environmental data collection, serve as maneuverable remote monitoring platforms, and effectively explore and map new environments. Such activities will depend on seamless integration of human-robot systems. The objective of this research is to advance fundamental knowledge of human-robot interaction (HRI) principles for aerial robots by developing new methods for communicating robot status at a glance as well as robot interface technologies that support both proximal and distal operation. This work will design a signaling module that maps robot communicative goals to signaling mechanisms, which can be used in robot software architectures in a manner analogous to common robot motion planning modules. Additionally, this work will examine how robot interface design requirements differ for crew and ground control and develop techniques for scaling control systems across interaction distances.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_89406
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190501230127
Harvest Object Id 8ba3883b-3a68-4c28-9093-5ed679129b2a
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2019-10-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash a8fe99fae5641ad700ca8633806631eb46146f64
Source Schema Version 1.1

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