Carnegie Mellon University
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Stephen Smith
Research Professor, RI
Office: NSH 4213
Phone: (412) 268-8811
Fax: 412-268-5569
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Administrative Assistant: Keyla C. Cook
Affiliated Center(s):
 Center for Integrated Manfacturing Decision Systems (CIMDS)
Personal Homepage

Past Projects [Current Projects]
Activelets: Web-Based Planning and Scheduling Services (COMIREM)
We are developing planning, scheduling and user interface components that enable real-time collaborative planning and scheduling by mobile decision agents.
AMC Barrelmaster Scheduling
Integrated management of airlift and tanker missions at the USAF Air Mobility Command.
The DARPA COORDINATORS program defines a challenging multi-agent application, with agents operating in a highly dynamic environment, where no agent has a complete view of the problem.
Dirk's "J" Toolkit (DJT)
Custom JAVA toolkit, user-interface for DITOPS/OZONE
Distributed Coordination of Resources (DICORE)
This project is investigating the issues associated with multi-agent resource coordination.
Federation of Intelligent Robotic Explorers Project (FIRE)
We are investigating and understanding fundamental issues in heterogeneous multi-robot coordination.
HSTS Space Observatory Scheduler
HSTS has been developed and applied principally in the context of space-based observatory scheduling problems.
Integrated Planning and Scheduling
We are investigating the development of techniques for tighter integration of planning and scheduling processes.
Management of Knowledge Intensive Dynamic Systems (MKIDS)
ICLL was one of nine research organizations participating in this combined NSF / DoD program investigating how information technology can help streamline processes for organizations that must respond rapidly to incoming knowledge, dynamic situations, and uncertainty.
Object Systems for Knowledge Representation (PORK and SCAM)
We have developed object systems that help us use frame-like features in our software.
Configurable/mixed-initiative scheduling systems
Reflective Agents with Distributed Adaptive Reasoning (RADAR)
The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function without requiring expert tuning or specially trained users.
Scheduling and Visualization
This project is investigating the development of next-generation environments for collaborative analysis and management of large-scale schedules.
Supply Chain Modeling and Analysis (SCMA)
The development of tools and techniques that enable modeling and analysis of emerging supply chain management strategies and practices.