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).
Ronald Tutor Hall, RTH-417
3710 S. Mc.Clintock Ave
Los Angeles, CA 90089
tel: (213) 740 6717
Hypothesis Testing Framework for Active Object Detection (ICRA 2013):
Nonmyopic View Planning for Active Object Detection (TRO):
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]
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]
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]
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]
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]
A copy of my Master's thesis is available on Google Docs