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Center for Integrated Manfacturing Decision Systems (CIMDS)
CIMDS
The Robotics Institute
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh PA 15213-3890
Current Projects [Past Projects]
 
A-Match
A-Match, the interface to the RETSINA Matchmaker, provides a web interface for users to advertise their agents, customize agents, find other agents, and query them.
AFOSR PRET: Information Fusion for Command and Control: The Translation of Raw Data To Actionable Knowledge and Decision
We are conducting a multidisciplinary research effort to develop the next generation of information fusion systems.
Adaptive Traffic Light Signalization
As part of the Traffic21 initiative at CMU, we are investigating the design and application of adaptive traffic signal control strategies for urban road networks.
Adaptive Web-Based Information Gathering and Filtering
Agent Storm
Agent Storm is a scenario where agents autonomously coordinate their team-oriented roles and actions while executing a mission.
Agent-based Composition of Behavioral Models
This project focuses on accurately modeling human physical behaviors; these models are used 1) to create computer generated forces (CGFs) that exhibit human-like behavior and 2) to recognize physical behaviors performed by trainees in a MOUT (Military Operations in Urban Terrain) team training simulation.
Aircraft Maintenance
A wearable software system that uses RETSINA agents to assist in the process of documenting and making repairs to aircraft.
Bend Sequence Planner
Finds the best sequence of bending operations and repositionings of the part in the robot gripper to make a bent sheet metal part.
BendCad Modeler
Sheet metal design system for the Intelligent Bending Workstation
Cooperative Attack Munition Real Time Assessment
We are developing the algorithms required to achieve cohesive, flexible and robust coordination of large teams of autonomous Wide Area Search Munitions (WASMs) that can be controlled by a small number of human operators.
Coordinators
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.
Daml-S (Semantic) Matchmaker
We have developed our Semantic Matchmaker, an entity that will allow web services to locate other services, using DAML-S, a DAML-based language for describing service capabilities.
Discovery
We are developing an autoconfiguration mechanism for agents and infrastructures.
Electronic Commerce
Fine Motion Planner
The fine-motion planner computes a sequence of robot moves to safely unload the workpiece from the bending machine.
Fine Motion Planning for Assembly
Fine Motion Planning for Mobile Robots in Large Structure Assembly
Grasping Planner
Sheet metal grasp planning for the Intelligent Bending Workstation.
IBM ITA: Human-Agent Teamwork Models
We are developing models of human-agent teamwork for implementation in software agent systems.
Language for Advertisement and Request for Knowledge Sharing
A common agent capability description language (ACDL) for matching service-requesting software agents with service-providing software agents.
MIGSOCK
We are developing MIGSOCK, a Linux kernel module that re-implements TCP to make socket migration possible.
MINTEC
Supply chain management
MORSE
The MORSE project is a simulated range operation, designed to evaluate effectiveness of the cognitive models and agents, in order to improve individual and team performance.
Matchmaker
A middle agent that facilitates conections among agents that provide services and agents that request services.
Mobile Communications amongst Heterogeneous Agents
We are developing a multi-agent system for "Anyware" communications and display.
Motion Planner
Partial Order Scheduling Procedures
We are investigating the development, analysis and application of optimizing search procedures for generating plans and schedules that retain temporal flexibility
Pleiades
A project aimed at developing methods for automating negotiation among agents and implementing effective machine learning techniques.
Product Decomposition
a method of decomposing sheet-metal products into a few, easily manufactured parts
RETSINA Semantic Web Calendar Agent
We are Retsina Semantic Web Calendar Agent to assist in organizing and scheduling meetings between several individuals, and coordinating these meetings based on existing schedules maintained by MS Outlook.
Real-Time Scheduling of ACCESS Paratransit Transportation
The goal of this project is to increase the effectiveness of paratransit service providers in managing daily operations through the development and deployment of dynamic, real-time scheduling technology.
Reusable Environment for Task Structured Intelligent Network Agents
An architecture for developing distributed intelligent software agents that cooperate asynchronously to perform goal-directed information retrieval and information integration in support of a varie
Stacking Planner
Generates plans for polyhedral sheet metal parts.
Tooling Planner
Supports various decision making steps related to bending tools and press-brake setups.
Urban Search and Rescue
We are developing Hybrid Teams of Autonomous Agents: Cyber Agents, Robots and People (CARPs) to address the challenges of urban search and rescue.
WARREN
The WARREN system is a multi-agent application that is designed to help users monitor and manage their financial portfolio.
WebMate
A personal agent for World-Wide Web browsing that enhances searches and learns user interests.
Weld Sequence Planning
Many manufacturing processes require considerable setup time and offer a large potential for schedule compression. For example, Pratt&Miller Inc. constructed a military spec HMMWV welded spaceframe with best-practice methods, this took 89 billable hours — cutting square tubes, preparing them for welding, and then performing the final welding tasks to build the structure. On analysis, we discovered that the time actually spent on constructive processes was only 3% (slightly over two hours) of that total. Thus 97% of the overall time can potentially be eliminated. We built a system to exploit this opportunity that includes a welding robot, an augmented reality projection system and a laser displacement sensor. To test the system, we fabricated a custom variant of a HMMWV welded spaced frame where pre-process tasks were automated: BOM acquisition, component preparation, sequence planning, weld parameter optimization, fixture planning, workpiece localization and finally automated work assignments were delegated to a robot and a person. In the end, we were able to make the custom welded product nearly 9x faster than was previously possible. This achievement also translates economically to the bottom line because the cost of raw materials was only 6% of the total costs. This talk will highlight the technical achievements that made this possible.