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Demeter
Head: John Bares
Contact: John Bares (bares@cs.cmu.edu)
Mailing address:
National Robotics Engineering Center
10 40th Street
Pittsburgh, PA 15201
Associated center: NREC
For more information, see this project's homepage.
This page last updated - June 2006.
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Project Description |
Personnel |
Publications
Project Description
The Demeter project is developing a next-generation self-propelled hay harvester for agricultural operations. The current project goal is to provide a "Program-Execute" such that an expert harvester operator merely has to harvest a field once ("programming the field") allowing a lesser-skilled operator play back the programmed field ("executing the field") at a later date. This technology has been verified on a New Holland 2550 hay harvester. The project is now entering the commercialization phase in which this technology will soon be commercially available on the HW340 hay harvester. Eventually this technology will be used by all of Case New Holland's product line.
Personnel [Past Members]
Publications
Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.
- Methods for Cropline Following
M. Happold
tech. report CMU-RI-TR-00-14, Robotics Institute, Carnegie Mellon University, May, 2000.
[Abstract]
Download: pdf [873 KB] copyrighted
- The Demeter System for Automated Harvesting
T. Pilarski, M. Happold, H. Pangels, M. Ollis, K. Fitzpatrick, and A. Stentz
Proceedings of the 8th International Topical Meeting on Robotics and Remote Systems, April, 1999.
[Abstract]
Download: pdf [1293 KB], ps.gz [2767 KB] copyrighted
- Vision-Based Perception for an Autonomous Harvester
M. Ollis and A. Stentz
Proceedings of the IEEE/RSJ International Conference on Intelligent Robotic Systems, Vol. 3, September, 1997, pp. 1838 - 1844.
[Abstract]
Download: pdf [1264 KB], ps.gz [2243 KB] copyrighted
- Perception Algorithms for a Harvesting Robot
M. Ollis
doctoral dissertation, tech. report CMU-RI-TR-97-43, Robotics Institute, Carnegie Mellon University, August, 1997.
[Abstract]
Download: pdf [6669 KB], ps.gz [29187 KB] copyrighted
- First Results in Vision-Based Crop Line Tracking
M. Ollis and A. Stentz
Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 1, April, 1996, pp. 951 - 956.
[Abstract]
Download: pdf [337 KB], ps.gz [1959 KB] copyrighted
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