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David Bradley
PhD Student

Associated center: NREC

Email address: dmbradle@andrew.cmu.edu

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

For more information, see my personal homepage.

Jump to: Research interests | Projects | Publications

I am interested in Computer Vision and Machine learning, particularly in how to leverage unlabeled data and weakly labeled data to improve performance on robot perception tasks.

• UGCV PerceptOR Integrated - The UPI (UGCV PerceptOR Integrated) program integrates and enhances the results from UGCV and PerceptOR to increase the speed and autonomy of unmanned ground vehicles operating in complex terrain. By combining the inherent mobility of Spinner with advanced perception techniques including the use of learning and prior terrain data, the UPI program stresses system design across vehicle, sensors and software so that the strengths of one component compensate for the weaknesses of another.

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Vegetation Detection for Driving in Complex Environments
  D. Bradley, R. Unnikrishnan, and J. Bagnell
  IEEE International Conference on Robotics and Automation, April, 2007. [Abstract]
  Download: pdf [1694 KB] copyrighted

• Boosting Structured Prediction for Imitation Learning
  N. Ratliff, D. Bradley, J. Bagnell, and J. Chestnutt
  Advances in Neural Information Processing Systems 19, MIT Press, Cambridge, MA, 2007. [Abstract]
  Download: pdf [847 KB] copyrighted

• Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments
  A. Kelly, A. Stentz, O. Amidi, M.W. Bode, D. Bradley, A. Diaz-Calderon, M. Happold, H. Herman, R. Mandelbaum, T. Pilarski, P. Rander, S. Thayer, N.M. Vallidis, and R. Warner
  The International Journal of Robotics Research, Vol. 25, No. 5-6, May, 2006, pp. 449-483. [Abstract]
  Download: pdf [847 KB] copyrighted

• Recent Developments in Subterranean Robotics
  A.C. Morris, D. Ferguson, Z. Omohundro, D. Bradley, D. Silver, C. Baker, S. Thayer, W. Whittaker, and W.L. Whittaker
  Journal of Field Robotics, Vol. 23, No. 1, January, 2006, pp. 35-57. [Abstract]
  Download: pdf [2405 KB] copyrighted

• Real-time image-based topological localization in large outdoor environments
  D. Bradley, R. Patel, N. Vandapel, and S. Thayer
  2005 IEEE International Conference on Intelligent Robots and Systems (IROS '05), August, 2005, pp. 3670 - 3677. [Abstract]
  Download: pdf [304 KB] copyrighted

• A regional point descriptor for global localization in subterranean environments
  D. Bradley, D. Silver, and S. Thayer
  IEEE conference on Robotics Automation and Mechatronics (RAM 2005), Vol. 1, December, 2004, pp. 440 - 445. [Abstract]
  Download: pdf [167 KB] copyrighted

• Scan Matching for Flooded Subterranean Voids
  D. Silver, D. Bradley, and S. Thayer
  IEEE conference on Robotics Automation and Mechatronics (RAM), Vol. 1, December, 2004, pp. 422 - 427. [Abstract]
  Download: pdf [341 KB] copyrighted

• Vegetation Detection for Mobile Robot Navigation
  D. Bradley, S. Thayer, A. Stentz, and P. Rander
  tech. report CMU-RI-TR-04-12, Robotics Institute, Carnegie Mellon University, February, 2004. [Abstract]
  Download: pdf [1561 KB] copyrighted