Human-Robot Collaboration on Complex Tasks

Metadata Updated: May 2, 2019

The aim of this proposal is to test the hypothesis that a system can increase speed and accuracy at inferring human intentions and increase the number of robots a single astronaut can supervise by inferring a person’s mental state from their language utterances and actively asking questions when it is confused. The approach is driven by a formal model for human-robot collaboration that enables a robot to make plans without complete information and reason about what a person wants. This inference will enable a person to effectively communicate complex requirements and tasks constraints to the person at very abstract levels (e.g., "Inspect the ISS") and at very specific levels (e.g., "Move left six inches,") as well as recovering from failure by asking targeted questions (e.g., "Do you mean the Philips screwdriver or the flat head?"). The end goal of this project is to achieve seamless human-robot cooperation on complex tasks, approaching the ease and accuracy of human-human collaboration. Humans communicating with other humans use language to express very abstract goals as well as very low-level concrete commands. This use of language enables high levels of autonomy but also supports flexible and fluid corrections and replanning. Robots that can use fluid language at multiple levels of abstraction can flexibly respond to a person's requests. The ultimate impact is a world where robots actively interpret a person’s instructions, asking questions when they are confused, and asking for help when they encounter a problem.

Access & Use Information

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_89301
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 446efaf3-ed89-44f5-bb64-ade6ed53e261
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 858988e09adaeaf2e7984f993d17571468a5d8c2
Source Schema Version 1.1

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