Search
Navigator: RI | Research | Projects | FIRE
Graphics enhanced version of this site
Federation of Intelligent Robotic Explorers Project (FIRE)
This project is no longer active.
Heads: Reid Simmons, Stephen Smith, Anthony (Tony) Stentz, and Jeff Schneider
Contact: Reid Simmons (reids@cs.cmu.edu)
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Associated lab/group: Reliable Autonomous Systems Lab
For more information, see this project's homepage.
Jump to:
Project Description |
Personnel |
Publications
Project Description
The FIRE Project, part of the NASA Intelligent Systems Program, aims at investigating and understanding fundamental issues in heterogeneous multi-robot coordination. We focus on domains, such as space exploration, where complex tasks must be performed in environments that are largely inaccessible to humans. The name, FIRE (Federation of Intelligent Robotic Explorers), provides an apt overview of the major themes of this project.
The notion of a federation allows for tremendous lattitude in the exact structure of an organization. A federation can be composed of sub-organizations, or entities, that are heterogeneous, being vastly different in size, structure, capabilities, etc. Each of the sub-organizations or entities retains some degree of autonomy, but also agrees to abide by the general rules that govern the functioning of the federation.
In the FIRE Project, we focus on federations of autonomous mobile robots. We believe that teams of heterogeneous (specialized) robots have advantages over general-purpose robots in being able to accomplish many complex tasks faster, more reliably, and more cheaply. Heterogeneous teams enable the utilization of time- and resource-saving strategies that exploit specialization, providing the potential for high quality results while also maintaining fault tolerence.
Robots in our federation are intelligent, capable of operating with a high degree of autonomy and developing both individual and group-level strategies for accomplishing tasks. The group-level strategies are able to accomodate a wide range cooperation from tightly The nature of the federation is also quite fluid, with teams dynamically forming to perform tasks and desolving when tasks are finished.
The domain of focus in the FIRE Project is space (more specifically Mars) exploration, where human access is extremely difficult and communication limitations with Earth necessitate highly autonomous robots. We envision a scenario where a heterogeneous colony of robots is deployed on Mars. Scientists on Earth communicate high-level task descriptions to the colony (e.g., "find and gather data on several carbonate rocks"). The robots are reponsible for deciding how tasks are to be accomplished, based, among other things, on the tasks' relative priorities. The goal for the robots is to utilize their time, resources, and capabilities efficiently so as to provide the highest possible scientific return on the tasks they are given.
Past members
Recent publications [View all 26 publications]
- Policy Search in Reproducing Kernel Hilbert Space
J. Bagnell and J. Schneider
tech. report CMU-RI-TR-03-45, Robotics Institute, Carnegie Mellon University, November, 2003.
[Abstract]
Download: pdf [351 KB], ps.gz [269 KB] copyrighted
- Boosting Stochastic Problem Solvers Through Online Self-Analysis of Performance
V. Cicirello
doctoral dissertation, tech. report CMU-RI-TR-03-27, Robotics Institute, Carnegie Mellon University, July, 2003.
[Abstract]
Download: pdf [1930 KB], ps.gz [810 KB] copyrighted
- Market-Based Multi-Robot Planning in a Distributed Layered Architecture
D. Goldberg, V. Cicirello, M.B. Dias, R. Simmons, S. Smith, and A. Stentz
Multi-Robot Systems: From Swarms to Intelligent Automata: Proceedings from the 2003 International Workshop on Multi-Robot Systems, Kluwer Academic Publishers, Vol. 2, 2003, pp. 27-38.
[Abstract]
- Amplification of Search Performance through Randomization of Heuristics
V. Cicirello and S. Smith
Principles and Practice of Constraint Programming: 8th International Conference, Proceedings, Springer-Verlag, Vol. LNCS 2470 of Lecture Notes in Computer Science, September, 2002, pp. 124-138.
[Abstract]
Download: pdf [280 KB], ps.gz [166 KB] copyrighted
- A Layered Architecture for Coordination of Mobile Robots
R. Simmons, T. Smith, M.B. Dias, D. Goldberg, D. Hershberger, A. Stentz, and R.M. Zlot
Multi-Robot Systems: From Swarms to Intelligent Automata, Proceedings from the 2002 NRL Workshop on Multi-Robot Systems, Kluwer Academic Publishers, May, 2002.
[Abstract]
- Distributed Coordination of Resources via Wasp-like Agents
V. Cicirello and S. Smith
First NASA GSFC/JPL Workshop on Radical Agent Concepts (WRAC), January, 2002.
[Abstract]
Download: pdf [159 KB], ps.gz [143 KB] copyrighted
- A Distributed Layered Architecture for Mobile
Robot Coordination: Application to Space Exploration
D. Goldberg, V. Cicirello, M.B. Dias, R. Simmons, S. Smith, T. Smith, and A. Stentz
Proceedings of the 3rd International NASA Workshop on Planning and Scheduling for Space, 2002.
[Abstract]
- Randomizing Dispatch Scheduling Policies
V. Cicirello and S. Smith
The 2001 AAAI Fall Symposium: Using Uncertainty Within Computation, November, 2001.
[Abstract]
Download: pdf [96 KB], ps.gz [117 KB] copyrighted
- A Game-Theoretic Analysis of Multi-Agent Systems for Shop Floor Routing
V. Cicirello
tech. report CMU-RI-TR-01-28, Robotics Institute, Carnegie Mellon University, September, 2001.
[Abstract]
Download: pdf [178 KB], ps.gz [85 KB] copyrighted
- A Market Approach to Multirobot Coordination
M.B. Dias and A. Stentz
tech. report CMU-RI -TR-01-26, Robotics Institute, Carnegie Mellon University, August, 2001.
[Abstract]
Download: pdf [341 KB], ps.gz [1929 KB] copyrighted
The Robotics Institute is part of the
School of Computer Science,
Carnegie Mellon University.
For updates and comments, please see these
instructions.
This page maintained by robotwebmaster@ri.cmu.edu