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Intelligent Coordination and Logistics Laboratory (ICLL)
Head: Stephen Smith
Contact: Stephen Smith (sfs@cs.cmu.edu)
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Location:
NSH 1502
Associated center: CIMDS
For more information, see this lab's homepage.
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Lab Description |
Personnel |
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Lab Description
Problems of large-scale coordination and logistics are ubiquitous, and better solutions are becoming increasingly critical in many domains. In manufacturing, trends toward industrial globalization and constrained market focus on high value-adding products, together with new coordination concepts such as electronic marketplaces, require organizations to become more agile. Military command and control infra-structure is faced with shrinking budgets and personnel, even though current geopolitical realities demand improved capability for rapid crisis-action mission planning and deployment. The rising cost of health care places a premium on more efficient methods for administration and delivery.
Intelligent systems technologies provide new opportunities for addressing such problems of large-scale planning, scheduling and control. The Intelligent Coordination and Logistics Laboratory (ICLL) is developing new theories, techniques and software technologies that capitalize on these opportunities and enable flexible, robust, efficient, and high quality management and control of complex organizations. Our research is tackling fundamental technological challenges relating to problem complexity and solution/system scalability, decision-making under diverse and complex constraints, time-stressed decision-making in dynamic domains, human-computer collaboration, multi-agent and distributed decision-making, and solution/system reconfigurability, reuse and self-improvement. Methodologically, our research is driven by the requirements and complexities of actual applications; we are developing, validating and transitioning intelligent planning and scheduling tools in a variety of application contexts spanning manufacturing management, transportation logistics, and space mission planning.
Personnel [Past members]
Current Projects [Past Projects]
Recent publications [View all 113 publications]
- Advising busy users on how to cut corners
P.R. Varakantham and S. Smith
tech. report CMU-RI-TR-08-17, Robotics Institute, Carnegie Mellon University, May, 2008.
Download: pdf [269 KB] copyrighted
- A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
G. Barlow and S. Smith
Applications of Evolutionary Computing: EvoWorkshops 2008, Springer, Berlin / Heidelberg, Vol. 4974/2008, April, 2008, pp. 606-615.
[Abstract]
Download: pdf [129 KB], ps.gz [112 KB] copyrighted
- Airlift Mission Monitoring and Dynamic Rescheduling
D.E. Wilkins, S. Smith, L. Kramer, T. Lee, and T. Rauenbusch
Engineering Applications of Artificial Intelligence, Vol. 21, No. 2, March, 2008.
[Abstract]
- Searching Alternate Spaces to Solve Oversubscribed Scheduling Problems
L. Kramer, L. Barbulescu, and S. Smith
tech. report CMU-RI-TR-08-12, Robotics Institute, Carnegie Mellon University, March, 2008.
[Abstract]
Download: pdf [278 KB] copyrighted
- Successful User Interfaces for RADAR
A. Faulring, K. Mohnkern, A. Steinfeld, and B.A. Myers
CHI 2008 Workshop on Usable Artificial Intelligence, 2008.
[Abstract]
Download: pdf [149 KB] copyrighted
- Benchmark Problems for Oversubscribed Scheduling
L. Barbulescu, L. Kramer, and S. Smith
Workshop on Scheduling a Scheduling Competition, The 17th International Conference on Automated Planning & Scheduling (ICAPS-07), September, 2007.
[Abstract]
Download: pdf [90 KB] copyrighted
- Analyzing Basic Representation Choices in Oversubscribed Scheduling Problems
L. Kramer, L. Barbulescu, and S. Smith
Proceedings of the 3rd Multidisciplinary International Conference on Scheduling: Theory and Application (MISTA-07), August, 2007.
[Abstract]
Download: pdf [157 KB] copyrighted
- Evolving Cooperative Control on Sparsely Distributed Tasks for UAV Teams Without Global Communication
G. Barlow, C. Oh, and S. Smith
tech. report CMU-RI-TR-07-24, Robotics Institute, Carnegie Mellon University, July, 2007.
[Abstract]
Download: pdf [113 KB], ps.gz [77 KB] copyrighted
- Understanding Performance Tradeoffs in Algorithms for Solving Oversubscribed Scheduling
L. Kramer, L. Barbulescu, and S. Smith
Proceedings 22nd Conference on Artificial Intelligence (AAAI-07), July, 2007.
[Abstract]
Download: pdf [171 KB] copyrighted
- Distributed Management of Flexible Times Schedules
S. Smith, A.T. Gallagher, T.L. Zimmerman, L. Barbulescu, and Z. Rubinstein
2007 Intl conf on Autonomous Agents and Multiagent Systems (AAMAS), May, 2007.
[Abstract]
Download: pdf [363 KB] copyrighted
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