Search Results - "Sridharan, Mohan"

Towards combining commonsense reasoning and knowledge acquisition to guide deep learning by Sridharan, Mohan, Mota, Tiago

“…Algorithms based on deep network models are being used for many pattern recognition and decision-making tasks in robotics and AI. Training these models…”
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Integrating Non-monotonic Logical Reasoning and Inductive Learning With Deep Learning for Explainable Visual Question Answering by Riley, Heather, Sridharan, Mohan

“…State of the art algorithms for many pattern recognition problems rely on data-driven deep network models. Training these models requires a large labeled…”
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Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds by Shiqi Zhang, Sridharan, Mohan, Wyatt, Jeremy L.

“…Deployment of robots in practical domains poses key knowledge representation and reasoning challenges. Robots need to represent and reason with incomplete…”
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Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms by Weerasekera, Rivindu, Ranjitkar, Prakash, Sridharan, Mohan

“…Short-term traffic prediction is a key component of Intelligent Transportation Systems. It uses historical data to construct models for reliably predicting…”
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Towards an Explanation Generation System for Robots: Analysis and Recommendations by Meadows, Ben, Sridharan, Mohan, Colaco, Zenon

“…A fundamental challenge in robotics is to reason with incomplete domain knowledge to explain unexpected observations and partial descriptions extracted from…”
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An adaptive framework for trajectory following in changing-contact robot manipulation tasks by Sidhik, Saif, Sridharan, Mohan, Ruiken, Dirk

“…We describe an adaptive control framework for changing-contact robot manipulation tasks that require the robot to make and break contacts with objects and…”
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REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics by Sridharan, Mohan, Gelfond, Michael, Zhang, Shiqi, Wyatt, Jeremy

“…This article describes REBA, a knowledge representation and reasoning architecture for robots that is based on tightly-coupled transition diagrams of the…”
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Inductive learning of answer set programs for autonomous surgical task planning: Application to a training task for surgeons by Meli, Daniele, Sridharan, Mohan, Fiorini, Paolo

“…The quality of robot-assisted surgery can be improved and the use of hospital resources can be optimized by enhancing autonomy and reliability in the robot’s…”
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Toward Impedance Control in Human-Machine Interfaces for Upper-Limb Prostheses by Ferrante, Laura, Sridharan, Mohan, Zito, Claudio, Farina, Dario

“…Objectives: Adaptation of upper-limb impeda- nce (stiffness, damping, inertia) is crucial for humans to physically interact with the external environment…”
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Inductive learning of answer set programs for autonomous surgical task planning by Meli Daniele, Sridharan Mohan, Fiorini, Paolo

“…The quality of robot-assisted surgery can be improved and the use of hospital resources can be optimized by enhancing autonomy and reliability in the robot’s…”
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What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration by Gomez, Rocio, Sridharan, Mohan, Riley, Heather

“…The architecture described in this paper encodes a theory of intentions based on the key principles of non-procrastination, persistence, and automatically…”
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Continual Learning of Knowledge Graph Embeddings by Daruna, Angel, Gupta, Mehul, Sridharan, Mohan, Chernova, Sonia

“…In recent years, there has been a resurgence in methods that use distributed (neural) representations to represent and reason about semantic knowledge for…”
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Proceedings 38th International Conference on Logic Programming: Extended Abstract: What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration by Gomez, Rocio, Riley, Heather, Sridharan, Mohan

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Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs by Sridharan, Mohan, Wyatt, Jeremy, Dearden, Richard

“…Flexible, general-purpose robots need to autonomously tailor their sensing and information processing to the task at hand. We pose this challenge as the task…”
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Proceedings 37th International Conference on Logic Programming (Technical Communications): Extended Abstract: Non-monotonic Logical Reasoning and Deep Learning for Transparent Decision Making in Robotics by Mota, Tiago, Sridharan, Mohan, Leonardis, Ales

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Towards an Online Framework for Changing-Contact Robot Manipulation Tasks by Sidhik, Saif, Sridharan, Mohan, Ruiken, Dirk

“…We describe a framework for changing-contact robot manipulation tasks, which require the robot to make and break contacts with objects and surfaces. The…”
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Color learning and illumination invariance on mobile robots: A survey by Sridharan, Mohan, Stone, Peter

“…Recent developments in sensor technology have made it feasible to use mobile robots in several fields, but robots still lack the ability to accurately sense…”
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Cognitive Computing by Sridharan, Mohan, Tesauro, Gerald, Hendler, James

“…The guest editors of this special issue on cognitive computing discuss the field in general and the four articles they selected to represent it in particular…”
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Gaussian process models for reference ET estimation from alternative meteorological data sources by Holman, Daniel, Sridharan, Mohan, Gowda, Prasanna, Porter, Dana, Marek, Thomas, Howell, Terry, Moorhead, Jerry

“…•Accurate estimates of daily ref. ET are needed for efficient irrigation management.•Climate data from non-ET stations can be used to fill ET for sparse…”
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RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning by Collins, Jack, Robson, Mark, Yamada, Jun, Sridharan, Mohan, Janik, Karol, Posner, Ingmar

“…We introduce RAMP, an open-source robotics benchmark inspired by real-world industrial assembly tasks. RAMP consists of beams that a robot must assemble into…”
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