Title: Computer Supported Collaborative Work of a Distributed Remote Science Team and a Mars Crew
1Computer Supported Collaborative Work of a
Distributed Remote Science Team and a Mars Crew
- Maarten Sierhuis, Ph.D.
- Mobile Agents Project Lead
- RIACS/NASA Ames Research Center
- Moffett Field, CA
2PlayMobile Agents 2004Field Test _at_ MDRSDVD
3Slides from Last Year
4Mobile AgentsA software agent architecture for
supporting EVAs on Mars tested at the MDRS
5Mobile Agents Objectives
- Use what weve learned studying and modeling
planetary EVAs to develop a new generation of
EVA support systems - A model-based intelligent architecture to
seamlessly - Integrate data from mobile system components
(robot, atv, suit, tools, etc.) - Provide this data to the, EVA astronaut, rover,
habitat and remote mission support (with time
delay) - Use software "intelligent agents" to
- interpret this data
- provide model-based advice pertinent to carrying
out efficient and safe EVAs. - Help crews and mission control coordinate their
work - Key Based on Work Practice Studies of actual
field work.
6Brahms Compendium(possible future KMi
collaboration)
Last Slide of Last Years Talk
- Compendium as a Human-Agent Interface
- Semi-formal
- Informal Human ? Human
- Formal Human ? Agent
- Agents put data into Compendium
- Humans communicate to agents
- Agents get data out of Compendium
7Collaborative Planetary Science
- Teamwork
- Collaborative decision-making
- Man or machine science?
- Apollo missions
- MER mission
- Human mission to Mars (MDRS 03)
8Mission Operations Support Issues during Apollo
- Technology Limitations
- No image processing
- No image download
- No Location tracking
- Ground processing by hand
- Voice transcriptions
- Sample image recording
- Health monitoring
- Ground-based human CapCom
- Short missions
- Time delay
- EVA schedule monitoring
- Advice
9Mission Operations Issues during MER
- Large Science Team co-Located at JPL (50)
- 24 7 Mission Operations on Mars time (2 shifts
per Sol) - No Round-Trip Data Tracking
- Collaborative Science Planning
- Contention with Engineering Requirements for
Robots
10Research Questions
- How can a Mars crew communicate about their daily
EVA plans with a Remote Science Team on Earth? - How can science data be captured and communicated
during and after an EVA? - What is the role of an Earth-based science team?
- Can they effectively participate in the planning
of daily EVAs? - Can they make useful and timely suggestions to
the crew? - How can they collaborate before, during or after
an EVA? - Can they lead an EVA?
11Mobile Agents at MDRS
12Human and Agents
- Software Agent
- An artificial, non-human, software component with
which humans or other agents can interact as if
it is an independent behavioral entity.
13Software Agents at MDRS 04
RST
14Mobile Agents Remote Science Team 04
15Crew/RST Work Flow
EVA plan
Stored in Hab Compendium ScienceOrganizer DBs
Stored in HabCompendium ScienceOrganizer DBs
Stored in HabCompendium DB
CrewsNext DayEVA Plan
CrewPerformsEVA
CrewAnalyzesData inHab
CrewDiscussesNext DayEVA Plan
Morning EVABriefing
ScienceData
CrewAnalysis
CrewAnalysisNext DayEVA Plan
Stored in MeetingReplay Video Compendium
DBon Earth
MARS
EARTH
ScienceData
RSTsAnalysisNext DayEVA Plan
Individual RST MemberAnalyzes EVA Data
RemotelyFacilitated RSTMeeting
IndividualRST MemberAnalysis
Stored inScienceOrganizer DB on Earth
Stored inCompendium, ScienceOrganizer DBs
or E-mail/Word docon Earth
Stored in Hab and EarthCompendium DB
16Collaborative Planetary Science
17Research Questions Revisited
- How can a Mars crew communicate about their daily
EVA plans with a Remote Science Team on Earth? - Compendium for asynchronous shared understanding
- MeetingReplay for time-delayed Marslt-gtEarth
Communication - How can science data be captured and communicated
during and after an EVA? - MAA Agents capture, correlate and store science
data in Compendium ScienceOrganizer - What is the role of an Earth-based science team?
- Can they effectively participate in the planning
of daily EVAs? - Yes, the tools provide contextual, situated
information - Needs serious Knowledge Management
- RST Facilitator is a crucial role
- Can they make useful and timely suggestions to
the crew? - No, there is not enough turn-around time in a
single-day cycle - How can they collaborate before, during or after
an EVA? - Before and after gt use of tools
- During has not been tried
- Can they lead an EVA?
- Has not been tried
18People Involved
- PI Bill Clancey
- Project Lead Maarten Sierhuis
- Brahms Team (Ames)
- Ron van Hoof (lead)
- Mike Scott
- Charis Kaskiris
- Yilmaz Cengeloglu
- ScienceOrganizer Team (Ames)
- Dan Berrios (lead)
- Ian Sturken
- David Hall
- Rich Keller
- Compendium Team (KMi Open University, UK)
- Simon Buckingham Shum (lead)
- Michelle Bachler
- Al Selvin (Verizon)
- Marc Eisenstadt
- Jiri Komzak
- MeetingReplay Team (Univ. of Southampton, UK)
- MEX Team (Ames)
- Rick Alena (lead)
- Charles Lee
- John Ossenfort
- RIALIS Team (Ames)
- John Dowding (lead)
- NREN (Ames Glenn)
- Marjorie Johnson (Lead)
- Ray Gilstrap
- NASA Glenn
- RST (Mars Society SUNY Buffalo)
- Shannon Rupert (lead)
- Stacy Sklar
- SUNY Buffalo RST
- ERA Team (JSC)
- Jeff Graham (lead)
- Kim Tyree-Schillcutt
- Robert Hirsch
- EVA Astronauts (SUNY Buffalo)
19Further Information
- Brahms
- http//www.agentisolutions.com
- Compendium
- http//www.compendiuminstitute.org
- MeetingReplay Buddyspace
- http//www.aktors.org/coakting
- ScienceOrganizer
- http//sciencedesk.arc.nasa.gov/so/
- MDRS
- http//www.marssociety.org/MDRS