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Yaron Rachlin
PhD Student, RI/ECE

No longer a member of RI.

For more information, see my personal homepage.

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Research interests

My research focuses on the interdependence of sensing resources, estimation accuracy, and estimation complexity in sensor networks.

Past Labs & Groups

Tele-Supervised Autonomous Robotics - Research in the T-SAR lab focusses on providing end-to-end tools for telesupervision of autonomous robots.

Past Projects

Wide Area Prospecting Using Supervised Autonomous Robots - We are developing teams of telesupervised autonomous prospecting robots for the planned NASA Lunar and Martian colonies.

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.

• On the Interdependence of Sensing and Estimation Complexity in Sensor Networks
  Y. Rachlin, R. Negi, and P. Khosla
  Proceedings of the Fifth International Symposium on Information Processing in Sensor Networks (IPSN '06), April, 2006. [Abstract]
  Download: pdf [536 KB] copyrighted

• Efficient Mapping Through Exploitation of Spatial Dependencies
  Y. Rachlin, J. Dolan, and P. Khosla
  Proceedings of the International Conference on Intelligent Robots and Systems (IROS '05), 2005. [Abstract]
  Download: pdf [290 KB] copyrighted

• Sensing Capacity for Discrete Sensor Network Applications
  Y. Rachlin, R. Negi, and P. Khosla
  Proceedings of The Fourth International Symposium on Information Processing in Sensor Networks (IPSN'05), 2005. [Abstract]
  Download: pdf [333 KB] copyrighted

• Sensing Capacity for Markov Random Fields
  Y. Rachlin, R. Negi, and P. Khosla
  International Symposium on Information Theory (ISIT) 2005, 2005. [Abstract]
  Download: pdf [171 KB] copyrighted

• Sensing Capacity for Target Detection
  Y. Rachlin, R. Negi, and P. Khosla
  Proceedings of the Information Theory Workshop, 2004. [Abstract]
  Download: pdf [254 KB] copyrighted

• Learning to Detect Partially Labeled People
  Y. Rachlin, J. Dolan, and P. Khosla
  Proceedings of the 2003 International Conference on Intelligent Robots and Systems (IROS'03), 2003. [Abstract]
  Download: pdf [273 KB] copyrighted

• A General Algorithmic Framework for Discovering Discriminative and Generative Structure in Data
  Y. Rachlin
  master's thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2002.