15 citations · 61 across the 23 of their papers we have counts for
9 papers · 1 filter
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork
Hasra Dodampegama, Mohan Sridharan
Ad hoc teamwork refers to the problem of enabling an agent to collaborate with teammates without prior coordination. Data-driven methods represent the state of the art in ad hoc te…
Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc Teamwork
Hasra Dodampegama, Mohan Sridharan
We present an architecture for ad hoc teamwork, which refers to collaboration in a team of agents without prior coordination. State of the art methods for this problem often includ…
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…
A Survey of Knowledge-based Sequential Decision Making under Uncertainty
Shiqi Zhang, Mohan Sridharan
Reasoning with declarative knowledge (RDK) and sequential decision-making (SDM) are two key research areas in artificial intelligence. RDK methods reason with declarative domain kn…
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…
KR: An Architecture for Knowledge Representation and Reasoning in Robotics
Shiqi Zhang, Mohan Sridharan, Michael Gelfond +1
This paper describes an architecture that combines the complementary strengths of declarative programming and probabilistic graphical models to enable robots to represent, reason w…
Combining Answer Set Programming and POMDPs for Knowledge Representation and Reasoning on Mobile Robots
Shiqi Zhang, Mohan Sridharan
For widespread deployment in domains characterized by partial observability, non-deterministic actions and unforeseen changes, robots need to adapt sensing, processing and interact…