Mohan Sridharan, Ph.D.

Affiliations: 
2007 Electrical and Computer Engineering University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Computer Science, Artificial Intelligence, Robotics
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"Mohan Sridharan"

Parents

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Benjamin J. Kuipers grad student 2007 UT Austin
 (Robust structure-based autonomous color learning on a mobile robot.)
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Publications

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Gomez R, Sridharan M, Riley H. (2020) What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration Annals of Mathematics and Artificial Intelligence
Sridharan M, Gelfond M, Zhang S, et al. (2019) REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics Journal of Artificial Intelligence Research. 65: 87-180
Sridharan M, Meadows B. (2019) Towards a Theory of Explanations for Human–Robot Collaboration KüNstliche Intelligenz. 33: 331-342
Meadows B, Sridharan M, Colaco Z. (2016) Towards an Explanation Generation System for Robots: Analysis and Recommendations Robotics. 5: 21
Myagmarjav B, Sridharan M. (2015) Knowledge Acquisition with Selective Active Learning for Human-Robot Interaction Acm/Ieee International Conference On Human-Robot Interaction. 2: 147-148
Jones KS, Cherry B, Sridharan M. (2015) Formative Work Analysis to Design Caregiver Robots Acm/Ieee International Conference On Human-Robot Interaction. 2: 99-100
Zhang S, Sridharan M, Wyatt JL. (2015) Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds Ieee Transactions On Robotics
Myagmarjav B, Sridharan M. (2015) Incremental knowledge acquisition for human-robot collaboration Proceedings - Ieee International Workshop On Robot and Human Interactive Communication. 2015: 809-814
Salmani K, Sridharan M. (2014) Multi-instance active learning with online labeling for object recognition Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference, Flairs 2014. 406-411
Zhang S, Sridharan M, Gelfond M, et al. (2014) Towards an architecture for knowledge representation and reasoning in robotics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8755: 400-410
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