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Artificial Intelligence Group
at the Jet Propulsion Laboratory

Title Image (earth waxing)

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



Autonomous Sciencecraft Experiment uses on-board science analysis and replanning to radically increase science return by enabling intelligent downlink selection and autonomous retargeting. + Read More

Distributed Rovers


Multi-Rover Integrated Science Understanding System develops architectures and technologies for command and control of multi-rover groups for planetary exploration.

+ View All Current Projects
+ View Past Projects

Featured Publications

Model Compilation for Real-Time Planning and Diagnosis with Feedback A. Barrett 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 S. Chien, R. Sherwood, D. Tran, B. Cichy, G. Rabideau, R. Castano, A. Davies, D. Mandl, S. Frye, B. Trout, S. Shulman, D. Boyer Journal of Aerospace Computing, Information, and Communication . April 2005 . + PDF CL#05-0079
Coordinating Multiple Rovers with Interdependent Science Objectives T. Estlin, D. Gaines, F. Fisher, R. Castano Autonomous Agents and Multi-Agent Systems Conference (AAMAS 2005). Utrecht, Netherlands. July 2005 + PDF CL#03-1202
Probabilistic Reasoning for Plan Robustness S. Schaffer, B. Clement, S. Chien International Joint Conference on Artificial Intelligence (IJCAI 2005). Edinburgh, Scotland. July 2005 + PDF CL#05-1025
Argumentation for Coordinating Shared Activities B. Clement, A. Barrett, S. Schaffer International Workshop on Planning and Scheduling for Space (IWPSS 2004). Darmstadt, Germany. June 2004

+ View All Publications

Contact Information

Group Supervisor

Steve Chien
M/S 301-260
4800 Oak Grove Dr.
Pasadena, CA 91109-8099
steve.chien at
+ Home Page


Steve Schaffer
+ 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

Internal JPL-Only Links

+ AIG Wiki


CL 03-2501