Carnegie Mellon Robotics Institute
|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.
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.
|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.
|TURBO-PLAN: An Interactive Mission Planning Advisor
|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.
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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