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Bio:

Bharath Sankaran is a PhD student in Computer Science at the University of Southern California. He joined the Computational Learning and Motor Control Lab in 2012. Before coming to USC, Bharath received an M.S in Robotics from the University of Pennsylvania (2012), an M.E specializing in Aerospace Engineering from the University of Maryland, College Park (2008) and a B.E in Mechanical Engineering from Anna University, India (2006). Bharath has also worked with the Robotics Institute in Carnegie Mellon on the Riverine Mapping project (2010) and with Bosch RTC on shared autonomy systems (2011). Apart from this he held industry positions at Human Network Labs (Philadelphia, 2008) and AIS Automation (Dresden, GmbH 2009).

Research Interests:

Computer Vision, Machine Learning, Humanoid Robotics, Reinforcement Learning, Active Perception, Online Learning.

Software:

Active Perception:

Active Object Detection

Interactive Perception:

Clutter Segmentation

Contact Information:

Ronald Tutor Hall, RTH-417
3710 S. Mc.Clintock Ave
Los Angeles, CA 90089

tel: (213) 740 6717

Email:


Videos:

Hypothesis Testing Framework for Active Object Detection (ICRA 2013): Nonmyopic View Planning for Active Object Detection (TRO):

Journal Publications:

Atanasov, N., Sankaran, B., Le Ny, J., Pappas, G., and Daniilidis, K. (2014). Nonmyopic View Planning for Active Object Classification and Pose Estimation, IEEE Transactions on Robotics
[Keywords: Active Perception, Multiple Hypothesis Testing, POMDP, Active Classification]
  Details  PDF  BibTeX

Conference Publications:

(Please refer to my Google Scholar page for a complete list of publications)

Sankaran, B., Atanasov, N., Le Ny, J., Koletschka, T., Pappas, G., and Daniilidis, K. (2013). Hypothesis Testing Framework for Active Object Detection, IEEE International Conference on Robotics and Automation
[Keywords: Active Perception, Multiple Hypothesis Testing, POMDP, Active Classification]
  Details  PDF  BibTeX

Preprint and Tech Reports:

Sankaran, B., Ghazvininejad, M., He, X., Kale, D. and Cohen, L., (2013). Learning and Optimization with Submodular Functions
[Keywords: Submodular Optimization, Submodularity, Learning with Submodularity]
  Details  PDF  BibTeX

Pre-CLMC Publications:

Sankaran, B., Pitzer B. and Osentoski S. (2012). Failure Recovery with Shared Autonomy, IEEE International Conference on Intelligent Robots and Systems
[Keywords: Failure Recovery, Task Planning, Shared Autonomy]
  Details  PDF  BibTeX

Achar S., Sankaran B., Nuske S., Scherer S. and Singh S. (2011). Self-Supervised Segmentation of River Scenes, IEEE International Conference on Robotics and Automation
[Keywords: Online Learning, Scene Classification, Visual Classification]
  Details  PDF  BibTeX

Master's Thesis:

A copy of my Master's thesis is available on Google Docs


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Page last modified on June 20, 2014, at 06:17 AM