Mohan Sridharan

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 74

Top Venues

Publications

Raghav Arora, Shivam Singh, Karthik Swaminathan, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, Madhava Krishna
. ICRA (2024)
Hasra Dodampegama, Mohan Sridharan
Explanation and Knowledge Acquisition in Ad Hoc Teamwork. PADL (2024)
Shivam Singh, Karthik Swaminathan, Raghav Arora, Ramandeep Singh, Ahana Datta, Dipanjan Das, Snehasis Banerjee, Mohan Sridharan, K. Madhava Krishna
Anticipate & Collab: Data-driven Task Anticipation and Knowledge-driven Planning for Human-robot Collaboration. CoRR (2024)
Oliver Kim, Mohan Sridharan
Relevance Score: A Landmark-Like Heuristic for Planning. CoRR (2024)
Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. IEEE Robotics Autom. Lett. 9 (1) (2024)
Mohan Sridharan, Tiago Mota
Towards combining commonsense reasoning and knowledge acquisition to guide deep learning. Auton. Agents Multi Agent Syst. 37 (1) (2023)
Ayush Agrawal, Raghav Arora, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna
CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities. CoRR (2023)
Hasra Dodampegama, Mohan Sridharan
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork. CoRR (2023)
Hasra Dodampegama, Mohan Sridharan
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork. Theory Pract. Log. Program. 23 (4) (2023)
Hasra Dodampegama, Mohan Sridharan
Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork. AAAI (2023)
Mohan Sridharan
A Cognitive Architecture for Integrated Robot Systems. COGAI@IJCLR (2023)
Hasra Dodampegama, Mohan Sridharan
Collaborate and Explain on the Fly: Nonmonotonic Logical Reasoning and Incremental Learning for Ad Hoc Teamwork. NMR (2023)
Nandiraju Gireesh, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna
Sequence-Agnostic Multi-Object Navigation. CoRR (2023)
Nandiraju Gireesh, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna
Sequence-Agnostic Multi-Object Navigation. ICRA (2023)
Ayush Agrawal, Raghav Arora, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna
CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities. RO-MAN (2023)
Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. CoRR (2023)
Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna
Object Goal Navigation using Data Regularized Q-Learning. CASE (2022)
Mohan Sridharan, Chloé Benz, Arthur Findelair, Kévin Gloaguen
There and Back Again: Combining Non-monotonic Logical Reasoning and Deep Learning on an Assistive Robot. NMR (2022)
Mark Robson, Mohan Sridharan
Generating Task-specific Robotic Grasps. CoRR (2022)
Hasra Dodampegama, Mohan Sridharan
Toward a Reasoning and Learning Architecture for Ad Hoc Teamwork. CoRR (2022)
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. CoRR (2022)
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht
A Survey of Ad Hoc Teamwork Research. EUMAS (2022)
Mohan Sridharan, Tiago Mota
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics. CoRR (2022)
Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna
Object Goal Navigation using Data Regularized Q-Learning. CoRR (2022)
Shiqi Zhang, Mohan Sridharan
A Survey of Knowledge-Based Sequential Decision-Making under Uncertainty. AI Mag. 43 (2) (2022)
D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal, Gulshan Kumar, Nandiraju Gireesh, Snehasis Banerjee, Ruddra Dev Roychoudhury, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna
Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation. CoRR (2022)
Mark Robson, Mohan Sridharan
A Keypoint-based Object Representation for Generating Task-specific Grasps. CASE (2022)
Martin Rudorfer, Markus Suchi, Mohan Sridharan, Markus Vincze, Ales Leonardis
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World. CoRR (2022)
Laura Ferrante, Mohan Sridharan, Claudio Zito, Dario Farina
Toward a Framework for Adaptive Impedance Control of an Upper-limb Prosthesis. CoRR (2022)
Mark Burstein, Mohan Sridharan, David McDonald
The Ninth Advances in Cognitive Systems (ACS) Conference. CoRR (2022)
D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal, Gulshan Kumar, Nandiraju Gireesh, Snehasis Banerjee, Ruddra Dev Roychoudhury, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna
Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation. CASE (2022)
Mohan Sridharan
Cognitive Adequacy: Insights from Developing Robot Architectures (poster). CAKR@IJCAI (2022)
Saif Sidhik, Mohan Sridharan, Dirk Ruiken
Towards an Online Framework for Changing-Contact Robot Manipulation Tasks. IROS (2021)
Angel Andres Daruna, Mehul Gupta, Mohan Sridharan, Sonia Chernova
Continual Learning of Knowledge Graph Embeddings. CoRR (2021)
Saif Sidhik, Mohan Sridharan, Dirk Ruiken
Towards a Framework for Changing-Contact Robot Manipulation. CoRR (2021)
Daniele Meli, Mohan Sridharan, Paolo Fiorini
Inductive learning of answer set programs for autonomous surgical task planning. Mach. Learn. 110 (7) (2021)
Keith S. Jones, Dennis J. Harris, Barbara Cherry, Mohan Sridharan
A Qualitative Study of Caregiving in Support of Aging in Place to Inform Analyses of Caregivers' Work and Design of Robot Caregivers. AHFE (5) (2021)
Angel Andres Daruna, Mehul Gupta, Mohan Sridharan, Sonia Chernova
Continual Learning of Knowledge Graph Embeddings. IEEE Robotics Autom. Lett. 6 (2) (2021)
Tiago Mota, Mohan Sridharan
Answer me this: Constructing Disambiguation Queries for Explanation Generation in Robotics. ICDL (2021)
Rocío Gómez, Mohan Sridharan, Heather Riley
What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration. Ann. Math. Artif. Intell. 89 (1-2) (2021)
Saif Sidhik, Mohan Sridharan, Dirk Ruiken
An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks. CoRR (2021)
Tiago Mota, Mohan Sridharan, Ales Leonardis
Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. SN Comput. Sci. 2 (4) (2021)
Daniele Meli, Paolo Fiorini, Mohan Sridharan
Towards inductive learning of surgical task knowledge: a preliminary case study of the peg transfer task. KES (2020)
Rocío Gómez, Mohan Sridharan, Heather Riley
Towards a Theory of Intentions for Human-Robot Collaboration. EUMAS/AT (2020)
Mohan Sridharan, Tiago Mota
Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract). IJCAI (2020)
Shiqi Zhang, Mohan Sridharan
A Survey of Knowledge-based Sequential Decision Making under Uncertainty. CoRR (2020)
Tiago Mota, Mohan Sridharan
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics. CoRR (2020)
Mohan Sridharan
REBA-KRL: Refinement-Based Architecture for Knowledge Representation, Explainable Reasoning and Interactive Learning in Robotics. ECAI (2020)
Tiago Mota, Mohan Sridharan, Ales Leonardis
Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. EUMAS/AT (2020)
Mohan Sridharan, Heather Riley
Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering. EUMAS/AT (2020)
Mohan Sridharan, Ben Meadows
Towards a Theory of Explanations for Human-Robot Collaboration. Künstliche Intell. 33 (4) (2019)
Rocío Gómez, Mohan Sridharan, Heather Riley
Towards a Theory of Intentions for Human-Robot Collaboration. CoRR (2019)
Heather Riley, Mohan Sridharan
Integrating Non-monotonic Logical Reasoning and Inductive Learning With Deep Learning for Explainable Visual Question Answering. Frontiers Robotics AI 6 (2019)
Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Sewer Kopicki, Jeremy L. Wyatt
Generative grasp synthesis from demonstration using parametric mixtures. CoRR (2019)
Michael J. Mathew, Saif Sidhik, Mohan Sridharan, Morteza Azad, Akinobu Hayashi, Jeremy L. Wyatt
Online Learning of Feed-Forward Models for Task-Space Variable Impedance Control. Humanoids (2019)
Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt
REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. J. Artif. Intell. Res. 65 (2019)
Heather Riley, Mohan Sridharan
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering. CoRR (2019)
Tiago Mota, Mohan Sridharan
Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots. Robotics: Science and Systems (2019)
Tiago Mota, Mohan Sridharan
Incrementally Grounding Expressions for Spatial Relations between Objects. IJCAI (2018)
Heather Riley, Mohan Sridharan
Non-monotonic Logical Reasoning and Deep Learning for Explainable Visual Question Answering. HAI (2018)
Ranjini Swaminathan, Mohan Sridharan, Katharine Hayhoe
A Computational Framework for Modelling and Analyzing Ice Storms. CoRR (2018)
Pat Langley, Mohan Sridharan, Ben Meadows
Representation, Use, and Acquisition of Affordances in Cognitive Systems. AAAI Spring Symposia (2018)
Mohan Sridharan, Ben Meadows, Rocío Gómez
What Can I Not Do? Towards an Architecture for Reasoning about and Learning Affordances. ICAPS (2017)
Lars Kunze, Mohan Sridharan, Christes Dimitrakakis, Jeremy L. Wyatt
Adaptive sampling-based view planning under time constraints. ECMR (2017)
Mohan Sridharan, Gerald Tesauro, James A. Hendler
Cognitive Computing. IEEE Intell. Syst. 32 (4) (2017)
Mohan Sridharan
Integrating Knowledge Representation, Reasoning, and Learning for Human-Robot Interaction. AAAI Fall Symposia (2017)
Mohan Sridharan, Ben Meadows
Learning Affordances for Assistive Robots. ICSR (2017)
Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi
Explainable Agency for Intelligent Autonomous Systems. AAAI (2017)
Mohan Sridharan
Towards An Architecture for Representation, Reasoning and Learning in Human-Robot Collaboration. AAAI Spring Symposia (2016)
Ben Meadows, Mohan Sridharan, Zenon Colaco
Towards an Explanation Generation System for Robots: Analysis and Recommendations. Robotics 5 (4) (2016)
Mohan Sridharan, Michael Gelfond
Using Knowledge Representation and Reasoning Tools in the Design of Robots. KnowProS@IJCAI (2016)
Mohan Sridharan, Ben Meadows
Should I do that? using relational reinforcement learning and declarative programming to discover domain axioms. ICDL-EPIROB (2016)
Mohan Sridharan, Prashanth Devarakonda, Rashmica Gupta
Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning. AAMAS Workshops (Visionary Papers) (2016)
Mohan Sridharan, Ben Meadows, Zenon Colaco
A tale of many explanations: towards an explanation generation system for robots. SAC (2016)
Batbold Myagmarjav, Mohan Sridharan
Incremental knowledge acquisition for human-robot collaboration. RO-MAN (2015)
Batbold Myagmarjav, Mohan Sridharan
Incremental Knowledge Acquisition with Selective Active Learning. AAMAS (2015)
Shiqi Zhang, Mohan Sridharan, Jeremy L. Wyatt
Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds. IEEE Trans. Robotics 31 (3) (2015)
Batbold Myagmarjav, Mohan Sridharan
Knowledge Acquisition with Selective Active Learning for Human-Robot Interaction. HRI (Extended Abstracts) (2015)
Ranjini Swaminathan, Mohan Sridharan, Gillian Dobbie, Katharine Hayhoe
Modeling Ice Storm Climatology. Australasian Conference on Artificial Intelligence (2015)
Zenon Colaco, Mohan Sridharan
Mixed Logical and Probabilistic Reasoning for Planning and Explanation Generation in Robotics. CoRR (2015)
Keith S. Jones, Barbara Cherry, Mohan Sridharan
Formative Work Analysis to Design Caregiver Robots. HRI (Extended Abstracts) (2015)
Batbold Myagmarjav, Mohan Sridharan
Incremental Knowledge Acquisition with Selective Active Learning: (Doctoral Consortium). AAMAS (2015)
Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt
A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. CoRR (2015)
Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt
KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics. CoRR (2014)
Manish Jain, Albert Xin Jiang, Takashi Kido, Keiki Takadama, Eric G. Mercer, Neha Rungta, Mark Waser, Alan Wagner, Jennifer L. Burke, Donald A. Sofge, William F. Lawless, Mohan Sridharan, Nick Hawes, Tim Hwang
Reports of the 2014 AAAI Spring Symposium Series. AI Mag. 35 (3) (2014)
Mohan Sridharan
Committees. AAAI Spring Symposia (2014)
Mohan Sridharan
Preface. AAAI Spring Symposia (2014)
Kimia Salmani, Mohan Sridharan
Multi-Instance Active Learning with Online Labeling for Object Recognition. FLAIRS Conference (2014)
Emilie Featherston, Mohan Sridharan, Susan Darling Urban, Joseph E. Urban
DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots. AAAI (2014)
Mohan Sridharan, Sarah Rainge
Integrating Reinforcement Learning and Declarative Programming to Learn Causal Laws in Dynamic Domains. ICSR (2014)
Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt
Towards an Architecture for Knowledge Representation and Reasoning in Robotics. ICSR (2014)
Shiqi Zhang, Mohan Sridharan, Christian Washington
Active Visual Planning for Mobile Robot Teams Using Hierarchical POMDPs. IEEE Trans. Robotics 29 (4) (2013)
Xiang Li, Mohan Sridharan, Catie Meador
Learning visual object models on a robot using context and appearance cues. AAMAS (2013)
Xiang Li, Mohan Sridharan
Move and the robot will learn: Vision-based autonomous learning of object models. ICAR (2013)
Shiqi Zhang, Mohan Sridharan
Integrating Declarative Programming and Probabilistic Planning for Robots. AAAI Fall Symposia (2013)
Mohan Sridharan
Integrating Visual Learning and Hierarchical Planning for Autonomy in Human-Robot Collaboration. AAAI Spring Symposium: Designing Intelligent Robots (2013)
Shiqi Zhang, Mohan Sridharan
Combining Answer Set Programming and POMDPs for Knowledge Representation and Reasoning on Mobile Robots. CoRR (2013)
Daniel Ellis Holman, Mohan Sridharan, Prasanna Gowda, Dana Porter, Thomas H. Marek, Terry Howell, Jerry E. Moorhead
Estimating Reference Evapotranspiration for Irrigation Management in the Texas High Plains. IJCAI (2013)
Shiqi Zhang, Mohan Sridharan
Active visual sensing and collaboration on mobile robots using hierarchical POMDPs. AAMAS (2012)
Shiqi Zhang, Forrest Sheng Bao, Mohan Sridharan
Combining Probabilistic Planning and Logic Programming on Mobile Robots. AAAI (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohan Sridharan