Artificial Intelligence Group
at the Jet Propulsion Laboratory
AIG Overview
The Artificial Intelligence Group performs basic research in the areas of Artificial Intelligence Planning and Scheduling, with applications to science analysis, spacecraft commanding, deep space network operations, and space transportation systems.
Featured Projects
ASE
Autonomous Sciencecraft Experiment uses on-board science analysis and replanning to radically increase science return by enabling intelligent downlink selection and autonomous retargeting. + Read MoreMISUS
Multi-Rover Integrated Science Understanding System develops architectures and technologies for command and control of multi-rover groups for planetary exploration.Featured Publications
Model Compilation for Real-Time Planning and Diagnosis with Feedback
International Joint Conference on Artificial Intelligence
(IJCAI 2005).
Edinburgh, Scotland.
July
2005
+ PDF
CL#05-1004
Using Autonomy Flight Software to Improve Science Return on Earth Observing One
Journal of Aerospace Computing, Information, and Communication
.
April
2005
.
+ PDF
CL#05-0079
Coordinating Multiple Rovers with Interdependent Science Objectives
Autonomous Agents and Multi-Agent Systems Conference
(AAMAS 2005).
Utrecht, Netherlands.
July
2005
+ PDF
CL#03-1202
Probabilistic Reasoning for Plan Robustness
International Joint Conference on Artificial Intelligence
(IJCAI 2005).
Edinburgh, Scotland.
July
2005
+ PDF
CL#05-1025
Argumentation for Coordinating Shared Activities
International Workshop on Planning and Scheduling for Space
(IWPSS 2004).
Darmstadt, Germany.
June
2004
Contact Information
Group Supervisor
Steve ChienM/S 301-260
4800 Oak Grove Dr.
Pasadena, CA 91109-8099
818.393.5320
steve.chien at jpl.nasa.gov
+ Home Page
Webmaster
Steve Schaffer818.354.8637
steve.schaffer@jpl.nasa.gov
+ Home Page
Employment Opportunities
The Artificial Intelligence Group continually seeks candidates at the BA/BS, MA/MS and PhD levels to work on fundamental research problems leading to unique software applications in spacecraft autonomy, scientific data analysis, and mission operations automation.+ JPL Career Launch
Related NASA Sites
Machine Learning Systems
The Machine Learning Systems (MLS) Group creates software solutions to hard problems requiring data mining, knowledge discovery, pattern recognition, and automated classification and clustering.+ Machine Learning Site