4 citations · 10 across the 6 of their papers we have counts for
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Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics
Mohan Sridharan, Tiago Mota
Algorithms based on deep network models are being used for many pattern recognition and decision-making tasks in robotics and AI. Training these models requires a large labeled dat…
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics
Tiago Mota, Mohan Sridharan
A robot's ability to provide descriptions of its decisions and beliefs promotes effective collaboration with humans. Providing such transparency is particularly challenging in inte…
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
Heather Riley, Mohan Sridharan
State of the art algorithms for many pattern recognition problems rely on deep network models. Training these models requires a large labeled dataset and considerable computational…
Towards a Theory of Intentions for Human-Robot Collaboration
Rocio Gomez, Mohan Sridharan, Heather Riley
The architecture described in this paper encodes a theory of intentions based on the the key principles of non-procrastination, persistence, and automatically limiting reasoning to…