Towards On-Board Color Constancy on Mobile Robots. - Mohan Sridharan; Peter Stone 001 (CRV, 2004)

Towards Illumination Invariance in the Legged League. - Mohan Sridharan; Peter Stone 001 (RoboCup, 2004)

Autonomous Color Learning on a Mobile Robot. - Mohan Sridharan; Peter Stone 001 (AAAI, 2005)

Practical Vision-Based Monte Carlo Localization on a Legged Robot. - Mohan Sridharan; Gregory Kuhlmann; Peter Stone 001 (ICRA, 2005)

Real-time vision on a mobile robot platform. - Mohan Sridharan; Peter Stone 001 (IROS, 2005)

Towards Eliminating Manual Color Calibration at RoboCup. - Mohan Sridharan; Peter Stone 001 (RoboCup, 2005)

Robust Autonomous Structure-based Color Learning on a Mobile Robot. - Mohan Sridharan (AAAI, 2006)

Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data. - Mohan Sridharan; Peter Stone 001 (ICARCV, 2006)

Autonomous Planned Color Learning on a Legged Robot. - Mohan Sridharan; Peter Stone 001 (RoboCup, 2006)

From pixels to multi-robot decision-making: A study in uncertainty. - Peter Stone 001; Mohan Sridharan; Daniel Stronger; Gregory Kuhlmann; Nate Kohl; Peggy Fidelman; Nicholas K. Jong (Robotics Auton. Syst., 2006)

Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination. - Mohan Sridharan; Peter Stone 001 (IJCAI, 2007)

Global action selection for illumination invariant color modeling. - Mohan Sridharan; Peter Stone 001 (IROS, 2007)

Structure-based color learning on a mobile robot under changing illumination. - Mohan Sridharan; Peter Stone 001 (Auton. Robots, 2007)

HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. - Mohan Sridharan; Jeremy L. Wyatt; Richard Dearden (ICAPS, 2008)

Detecting obstacles and drop-offs using stereo and motion cues for safe local motion. - Aniket Murarka; Mohan Sridharan; Benjamin Kuipers (IROS, 2008)

Long-Term vs. Greedy Action Planning for Color Learning on a Mobile Robot. - Mohan Sridharan; Peter Stone 001 (VISAPP (2), 2008)

Comparing Two Action Planning Approaches for Color Learning on a Mobile Robot. - Mohan Sridharan; Peter Stone 001 (VISAPP (Workshop on Robot Perception), 2008)

Learning sensor models for autonomous information fusion on a humanoid robot. - Mohan Sridharan; Xiang Li 102 (Humanoids, 2009)

Color learning and illumination invariance on mobile robots: A survey. - Mohan Sridharan; Peter Stone 001 (Robotics Auton. Syst., 2009)

Architecture and Representations. - Nick Hawes; Jeremy L. Wyatt; Mohan Sridharan; Henrik Jacobsson; Richard Dearden; Aaron Sloman; Geert-Jan M. Kruijff (Cognitive Systems, 2010)

The PlayMate System. - Nick Hawes; Jeremy L. Wyatt; Mohan Sridharan; Marek Sewer Kopicki; Somboon Hongeng; Ian Calvert; Aaron Sloman; Geert-Jan M. Kruijff; Henrik Jacobsson; Michael Brenner 001; Danijel Skocaj; Alen Vrecko; et al. (Cognitive Systems, 2010)

Toward autonomous scientific exploration of ice-covered lakes - Field experiments with the ENDURANCE AUV in an Antarctic Dry Valley. - Shilpa Gulati; Kristof Richmond; Christopher Flesher; Bart P. Hogan; Aniket Murarka; Gregory Kuhlmann; Mohan Sridharan; William C. Stone; Peter T. Doran (ICRA, 2010)

Predicting multi-core performance: a case study using Solaris containers. - Akbar Siami Namin; Mohan Sridharan; Pulkit Tomar (IWMSE@ICSE, 2010)

Bayesian methods for data analysis in software engineering. - Mohan Sridharan; Akbar Siami Namin (ICSE (2), 2010)

Prioritizing Mutation Operators Based on Importance Sampling. - Mohan Sridharan; Akbar Siami Namin (ISSRE, 2010)

Bayesian reasoning for software testing. - Akbar Siami Namin; Mohan Sridharan (FoSER, 2010)

Bootstrap Learning and Visual Processing Management on Mobile Robots. - Mohan Sridharan (Adv. Artif. Intell., 2010)

Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs. - Mohan Sridharan; Jeremy L. Wyatt; Richard Dearden (Artif. Intell., 2010)

Visual Search and Multirobot Collaboration Based on Hierarchical Planning. - Shiqi Zhang 001; Mohan Sridharan (Automated Action Planning for Autonomous Mobile Robots, 2011)

Augmented Reinforcement Learning for Interaction with Non-expert Humans in Agent Domains. - Mohan Sridharan (ICMLA (1), 2011)

Autonomous learning of vision-based layered object models on mobile robots. - Xiang Li 102; Mohan Sridharan; Shiqi Zhang 001 (ICRA, 2011)

To look or not to look: A hierarchical representation for visual planning on mobile robots. - Shiqi Zhang 001; Mohan Sridharan; Xiang Li 102 (ICRA, 2011)

Combining Probabilistic Planning and Logic Programming on Mobile Robots. - Shiqi Zhang 001; Forrest Sheng Bao; Mohan Sridharan (AAAI, 2012)

Active visual sensing and collaboration on mobile robots using hierarchical POMDPs. - Shiqi Zhang 001; Mohan Sridharan (AAMAS, 2012)

ASP+POMDP: Integrating non-monotonic logic programming and probabilistic planning on robots. - Shiqi Zhang 001; Mohan Sridharan; Forrest Sheng Bao (ICDL-EPIROB, 2012)

Integrating Declarative Programming and Probabilistic Planning for Robots. - Shiqi Zhang 001; Mohan Sridharan (AAAI Fall Symposia, 2013)

Integrating Visual Learning and Hierarchical Planning for Autonomy in Human-Robot Collaboration. - Mohan Sridharan (AAAI Spring Symposium: Designing Intelligent Robots, 2013)

Learning visual object models on a robot using context and appearance cues. - Xiang Li 102; Mohan Sridharan; Catie Meador (AAMAS, 2013)

Move and the robot will learn: Vision-based autonomous learning of object models. - Xiang Li 102; Mohan Sridharan (ICAR, 2013)

Estimating Reference Evapotranspiration for Irrigation Management in the Texas High Plains. - Daniel Ellis Holman; Mohan Sridharan; Prasanna Gowda; Dana Porter; Thomas H. Marek; Terry Howell; Jerry E. Moorhead (IJCAI, 2013)

Combining Answer Set Programming and POMDPs for Knowledge Representation and Reasoning on Mobile Robots. - Shiqi Zhang 001; Mohan Sridharan (CoRR, 2013)

Active Visual Planning for Mobile Robot Teams Using Hierarchical POMDPs. - Shiqi Zhang 001; Mohan Sridharan; Christian Washington (IEEE Trans. Robotics, 2013)

DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots. - Emilie Featherston; Mohan Sridharan; Susan Darling Urban; Joseph E. Urban (AAAI, 2014)

Committees. - Mohan Sridharan (AAAI Spring Symposia, 2014)

Preface. - Mohan Sridharan (AAAI Spring Symposia, 2014)

Multi-Instance Active Learning with Online Labeling for Object Recognition. - Kimia Salmani; Mohan Sridharan (FLAIRS, 2014)

Integrating Reinforcement Learning and Declarative Programming to Learn Causal Laws in Dynamic Domains. - Mohan Sridharan; Sarah Rainge (ICSR, 2014)

Towards an Architecture for Knowledge Representation and Reasoning in Robotics. - Shiqi Zhang 001; Mohan Sridharan; Michael Gelfond; Jeremy L. Wyatt (ICSR, 2014)

Reports of the 2014 AAAI Spring Symposium Series. - 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; et al. (AI Mag., 2014)

KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics. - Shiqi Zhang 001; Mohan Sridharan; Michael Gelfond; Jeremy L. Wyatt (CoRR, 2014)

Incremental Knowledge Acquisition with Selective Active Learning. - Batbold Myagmarjav; Mohan Sridharan (AAMAS, 2015)

Incremental Knowledge Acquisition with Selective Active Learning: (Doctoral Consortium). - Batbold Myagmarjav; Mohan Sridharan (AAMAS, 2015)

Modeling Ice Storm Climatology. - Ranjini Swaminathan; Mohan Sridharan; Gillian Dobbie; Katharine Hayhoe (Australasian Conference on Artificial Intelligence, 2015)

Formative Work Analysis to Design Caregiver Robots. - Keith S. Jones; Barbara Cherry; Mohan Sridharan (HRI (Extended Abstracts), 2015)

Knowledge Acquisition with Selective Active Learning for Human-Robot Interaction. - Batbold Myagmarjav; Mohan Sridharan (HRI (Extended Abstracts), 2015)

Incremental knowledge acquisition for human-robot collaboration. - Batbold Myagmarjav; Mohan Sridharan (RO-MAN, 2015)

Mixed Logical and Probabilistic Reasoning for Planning and Explanation Generation in Robotics. - Zenon Colaco; Mohan Sridharan (CoRR, 2015)

A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. - Mohan Sridharan; Michael Gelfond; Shiqi Zhang 001; Jeremy L. Wyatt (CoRR, 2015)

Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds. - Shiqi Zhang 001; Mohan Sridharan; Jeremy L. Wyatt (IEEE Trans. Robotics, 2015)

Towards An Architecture for Representation, Reasoning and Learning in Human-Robot Collaboration. - Mohan Sridharan (AAAI Spring Symposia, 2016)

Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning. - Mohan Sridharan; Prashanth Devarakonda; Rashmica Gupta (AAMAS Workshops (Visionary Papers), 2016)

Should I do that? using relational reinforcement learning and declarative programming to discover domain axioms. - Mohan Sridharan; Ben Meadows (ICDL-EPIROB, 2016)

Using Knowledge Representation and Reasoning Tools in the Design of Robots. - Mohan Sridharan; Michael Gelfond (KnowProS@IJCAI, 2016)

A tale of many explanations: towards an explanation generation system for robots. - Mohan Sridharan; Ben Meadows; Zenon Colaco (SAC, 2016)

Towards an Explanation Generation System for Robots: Analysis and Recommendations. - Ben Meadows; Mohan Sridharan; Zenon Colaco (Robotics, 2016)

Explainable Agency for Intelligent Autonomous Systems. - Pat Langley; Ben Meadows; Mohan Sridharan; Dongkyu Choi (AAAI, 2017)

Integrating Knowledge Representation, Reasoning, and Learning for Human-Robot Interaction. - Mohan Sridharan (AAAI Fall Symposia, 2017)

What Can I Not Do? Towards an Architecture for Reasoning about and Learning Affordances. - Mohan Sridharan; Ben Meadows; Rocío Gómez (ICAPS, 2017)

Adaptive sampling-based view planning under time constraints. - Lars Kunze; Mohan Sridharan; Christos Dimitrakakis; Jeremy L. Wyatt (ECMR, 2017)

Learning Affordances for Assistive Robots. - Mohan Sridharan; Ben Meadows (ICSR, 2017)

Cognitive Computing. - Mohan Sridharan; Gerald Tesauro; James A. Hendler (IEEE Intell. Syst., 2017)

Representation, Use, and Acquisition of Affordances in Cognitive Systems. - Pat Langley; Mohan Sridharan; Ben Meadows (AAAI Spring Symposia, 2018)

Non-monotonic Logical Reasoning and Deep Learning for Explainable Visual Question Answering. - Heather Riley; Mohan Sridharan (HAI, 2018)

Incrementally Grounding Expressions for Spatial Relations between Objects. - Tiago Mota; Mohan Sridharan (IJCAI, 2018)

A Computational Framework for Modelling and Analyzing Ice Storms. - Ranjini Swaminathan; Mohan Sridharan; Katharine Hayhoe (CoRR, 2018)

Online Learning of Feed-Forward Models for Task-Space Variable Impedance Control. - Michael J. Mathew; Saif Sidhik; Mohan Sridharan; Morteza Azad; Akinobu Hayashi; Jeremy L. Wyatt (Humanoids, 2019)

Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots. - Tiago Mota; Mohan Sridharan (Robotics: Science and Systems, 2019)

Generative grasp synthesis from demonstration using parametric mixtures. - Ermano Arruda; Claudio Zito; Mohan Sridharan; Marek Sewer Kopicki; Jeremy L. Wyatt (CoRR, 2019)

Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering. - Heather Riley; Mohan Sridharan (CoRR, 2019)

Integrating Non-monotonic Logical Reasoning and Inductive Learning With Deep Learning for Explainable Visual Question Answering. - Heather Riley; Mohan Sridharan (Frontiers Robotics AI, 2019)

REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. - Mohan Sridharan; Michael Gelfond; Shiqi Zhang 001; Jeremy L. Wyatt (J. Artif. Intell. Res., 2019)

Towards a Theory of Explanations for Human-Robot Collaboration. - Mohan Sridharan; Ben Meadows (Künstliche Intell., 2019)

REBA-KRL: Refinement-Based Architecture for Knowledge Representation, Explainable Reasoning and Interactive Learning in Robotics. - Mohan Sridharan (ECAI, 2020)

Towards a Theory of Intentions for Human-Robot Collaboration. - Rocío Gómez; Mohan Sridharan; Heather Riley (EUMAS/AT, 2020)

Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering. - Mohan Sridharan; Heather Riley (EUMAS/AT, 2020)

Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract). - Mohan Sridharan; Tiago Mota (IJCAI, 2020)

Towards inductive learning of surgical task knowledge: a preliminary case study of the peg transfer task. - Daniele Meli; Paolo Fiorini; Mohan Sridharan (KES, 2020)

Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics. - Tiago Mota; Mohan Sridharan (CoRR, 2020)

A Qualitative Study of Caregiving in Support of Aging in Place to Inform Analyses of Caregivers' Work and Design of Robot Caregivers. - Keith S. Jones; Dennis J. Harris; Barbara Cherry; Mohan Sridharan (AHFE (5), 2021)

Answer me this: Constructing Disambiguation Queries for Explanation Generation in Robotics. - Tiago Mota; Mohan Sridharan (ICDL, 2021)

Towards an Online Framework for Changing-Contact Robot Manipulation Tasks. - Saif Sidhik; Mohan Sridharan; Dirk Ruiken (IROS, 2021)

What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration. - Rocío Gómez; Mohan Sridharan; Heather Riley (Ann. Math. Artif. Intell., 2021)

Towards a Framework for Changing-Contact Robot Manipulation. - Saif Sidhik; Mohan Sridharan; Dirk Ruiken (CoRR, 2021)

An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks. - Saif Sidhik; Mohan Sridharan; Dirk Ruiken (CoRR, 2021)

Inductive learning of answer set programs for autonomous surgical task planning. - Daniele Meli; Mohan Sridharan; Paolo Fiorini (Mach. Learn., 2021)

Continual Learning of Knowledge Graph Embeddings. - Angel Andres Daruna; Mehul Gupta; Mohan Sridharan; Sonia Chernova (IEEE Robotics Autom. Lett., 2021)

Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. - Tiago Mota; Mohan Sridharan; Ales Leonardis (SN Comput. Sci., 2021)

Object Goal Navigation using Data Regularized Q-Learning. - Nandiraju Gireesh; D. A. Sasi Kiran; Snehasis Banerjee; Mohan Sridharan; Brojeshwar Bhowmick; K. Madhava Krishna (CASE, 2022)

Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation. - D. A. Sasi Kiran; Kritika Anand; Chaitanya Kharyal; Gulshan Kumar; Nandiraju Gireesh; Snehasis Banerjee; Ruddra Dev Roychoudhury; Mohan Sridharan; Brojeshwar Bhowmick; K. Madhava Krishna (CASE, 2022)

A Keypoint-based Object Representation for Generating Task-specific Grasps. - Mark Robson; Mohan Sridharan (CASE, 2022)

A Survey of Ad Hoc Teamwork Research. - Reuth Mirsky; Ignacio Carlucho; Arrasy Rahman; Elliot Fosong; William Macke; Mohan Sridharan; Peter Stone 001; Stefano V. Albrecht (EUMAS, 2022)

Cognitive Adequacy: Insights from Developing Robot Architectures (poster). - Mohan Sridharan (CAKR@IJCAI, 2022)

There and Back Again: Combining Non-monotonic Logical Reasoning and Deep Learning on an Assistive Robot. - Mohan Sridharan; Chloé Benz; Arthur Findelair; Kévin Gloaguen (NMR, 2022)

A Survey of Knowledge-Based Sequential Decision-Making under Uncertainty. - Shiqi Zhang 001; Mohan Sridharan (AI Mag., 2022)

The Ninth Advances in Cognitive Systems (ACS) Conference. - Mark Burstein; Mohan Sridharan; David McDonald (CoRR, 2022)

Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics. - Mohan Sridharan; Tiago Mota (CoRR, 2022)

A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. - Reuth Mirsky; Ignacio Carlucho; Arrasy Rahman; Elliot Fosong; William Macke; Mohan Sridharan; Peter Stone 001; Stefano V. Albrecht (CoRR, 2022)

Generating Task-specific Robotic Grasps. - Mark Robson; Mohan Sridharan (CoRR, 2022)

BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World. - Martin Rudorfer; Markus Suchi; Mohan Sridharan; Markus Vincze; Ales Leonardis (CoRR, 2022)

Toward a Reasoning and Learning Architecture for Ad Hoc Teamwork. - Hasra Dodampegama; Mohan Sridharan (CoRR, 2022)

Toward a Framework for Adaptive Impedance Control of an Upper-limb Prosthesis. - Laura Ferrante; Mohan Sridharan; Claudio Zito; Dario Farina (CoRR, 2022)

Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork. - Hasra Dodampegama; Mohan Sridharan (AAAI, 2023)

Sequence-Agnostic Multi-Object Navigation. - Nandiraju Gireesh; Ayush Agrawal; Ahana Datta; Snehasis Banerjee; Mohan Sridharan; Brojeshwar Bhowmick; K. Madhava Krishna (ICRA, 2023)

A Cognitive Architecture for Integrated Robot Systems. - Mohan Sridharan (COGAI@IJCLR, 2023)

Collaborate and Explain on the Fly: Nonmonotonic Logical Reasoning and Incremental Learning for Ad Hoc Teamwork. - Hasra Dodampegama; Mohan Sridharan (NMR, 2023)

CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities. - Ayush Agrawal; Raghav Arora; Ahana Datta; Snehasis Banerjee; Brojeshwar Bhowmick; Krishna Murthy Jatavallabhula; Mohan Sridharan; K. Madhava Krishna (RO-MAN, 2023)

Towards combining commonsense reasoning and knowledge acquisition to guide deep learning. - Mohan Sridharan; Tiago Mota (Auton. Agents Multi Agent Syst., 2023)

Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork. - Hasra Dodampegama; Mohan Sridharan (Theory Pract. Log. Program., 2023)

Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments†. - Raghav Arora; Shivam Singh; Karthik Swaminathan; Ahana Datta; Snehasis Banerjee; Brojeshwar Bhowmick; Krishna Murthy Jatavallabhula; Mohan Sridharan; K. Madhava Krishna (ICRA, 2024)

Reasoning and Explanation Generation in Ad Hoc Collaboration Between Humans and Embodied AI. - Hasra Dodampegama; Mohan Sridharan (LPNMR, 2024)

Explanation and Knowledge Acquisition in Ad Hoc Teamwork. - Hasra Dodampegama; Mohan Sridharan (PADL, 2024)

Relevance Score: A Landmark-Like Heuristic for Planning. - Oliver Kim; Mohan Sridharan (CoRR, 2024)

Anticipate & Collab: Data-driven Task Anticipation and Knowledge-driven Planning for Human-robot Collaboration. - Shivam Singh; Karthik Swaminathan; Raghav Arora; Ramandeep Singh; Ahana Datta; Dipanjan Das 003; Snehasis Banerjee; Mohan Sridharan; K. Madhava Krishna (CoRR, 2024)

An adaptive framework for trajectory following in changing-contact robot manipulation tasks. - Saif Sidhik; Mohan Sridharan; Dirk Ruiken (Robotics Auton. Syst., 2024)

RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. - Jack Collins; Mark Robson; Jun Yamada; Mohan Sridharan; Karol Janik; Ingmar Posner (IEEE Robotics Autom. Lett., 2024)

Toward Impedance Control in Human-Machine Interfaces for Upper-Limb Prostheses. - Laura Ferrante; Mohan Sridharan; Claudio Zito; Dario Farina (IEEE Trans. Biomed. Eng., 2024)

Back to the Future of Integrated Robot Systems. - Mohan Sridharan (AAAI, 2025)

Editorial: Merging symbolic and data-driven AI for robot autonomy. - Daniele Meli; Mohan Sridharan; Simona Perri; Nikos Katzouris (Frontiers Robotics AI, 2025)

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments. - Raghav Arora; Shivam Singh; Karthik Swaminathan; Ahana Datta; Snehasis Banerjee; Brojeshwar Bhowmick; Krishna Murthy Jatavallabhula; Mohan Sridharan; K. Madhava Krishna (CoRR, 2025)

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement. - Shivam Singh; Karthik Swaminathan; Nabanita Dash; Ramandeep Singh; Snehasis Banerjee; Mohan Sridharan; K. Madhava Krishna (CoRR, 2025)

Generic-to-Specific Reasoning and Learning for Scalable Ad Hoc Teamwork. - Hasra Dodampegama; Mohan Sridharan (CoRR, 2025)