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Mohan Sridharan
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2020 – today
- 2024
- [j23]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): 9-16 (2024) - [j22]Saif Sidhik, Mohan Sridharan, Dirk Ruiken:
An adaptive framework for trajectory following in changing-contact robot manipulation tasks. Robotics Auton. Syst. 181: 104785 (2024) - [j21]Laura Ferrante, Mohan Sridharan, Claudio Zito, Dario Farina:
Toward Impedance Control in Human-Machine Interfaces for Upper-Limb Prostheses. IEEE Trans. Biomed. Eng. 71(9): 2630-2641 (2024) - [c82]Raghav Arora, Shivam Singh, Karthik Swaminathan, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, Madhava Krishna:
Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments†. ICRA 2024: 14038-14045 - [c81]Hasra Dodampegama, Mohan Sridharan:
Explanation and Knowledge Acquisition in Ad Hoc Teamwork. PADL 2024: 186-203 - [i28]Oliver Kim, Mohan Sridharan:
Relevance Score: A Landmark-Like Heuristic for Planning. CoRR abs/2403.07510 (2024) - [i27]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 abs/2404.03587 (2024) - 2023
- [j20]Mohan Sridharan, Tiago Mota:
Towards combining commonsense reasoning and knowledge acquisition to guide deep learning. Auton. Agents Multi Agent Syst. 37(1): 4 (2023) - [j19]Hasra Dodampegama, Mohan Sridharan:
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork. Theory Pract. Log. Program. 23(4): 696-714 (2023) - [c80]Hasra Dodampegama, Mohan Sridharan:
Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork. AAAI 2023: 3-10 - [c79]Nandiraju Gireesh, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna:
Sequence-Agnostic Multi-Object Navigation. ICRA 2023: 9573-9579 - [c78]Mohan Sridharan:
A Cognitive Architecture for Integrated Robot Systems. COGAI@IJCLR 2023 - [c77]Hasra Dodampegama, Mohan Sridharan:
Collaborate and Explain on the Fly: Nonmonotonic Logical Reasoning and Incremental Learning for Ad Hoc Teamwork. NMR 2023: 32-42 - [c76]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: 2604-2609 - [i26]Nandiraju Gireesh, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna:
Sequence-Agnostic Multi-Object Navigation. CoRR abs/2305.06178 (2023) - [i25]Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner:
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. CoRR abs/2305.09644 (2023) - [i24]Hasra Dodampegama, Mohan Sridharan:
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork. CoRR abs/2306.00790 (2023) - [i23]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 abs/2306.01540 (2023) - 2022
- [j18]Shiqi Zhang, Mohan Sridharan:
A Survey of Knowledge-Based Sequential Decision-Making under Uncertainty. AI Mag. 43(2): 249-266 (2022) - [c75]Mark Robson, Mohan Sridharan:
A Keypoint-based Object Representation for Generating Task-specific Grasps. CASE 2022: 374-381 - [c74]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: 1092-1097 - [c73]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: 1392-1398 - [c72]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: 275-293 - [c71]Mohan Sridharan:
Cognitive Adequacy: Insights from Developing Robot Architectures (poster). CAKR@IJCAI 2022 - [c70]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: 115-126 - [i22]Mark Burstein, Mohan Sridharan, David McDonald:
The Ninth Advances in Cognitive Systems (ACS) Conference. CoRR abs/2201.06134 (2022) - [i21]Mohan Sridharan, Tiago Mota:
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics. CoRR abs/2201.10266 (2022) - [i20]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 abs/2202.10450 (2022) - [i19]Mark Robson, Mohan Sridharan:
Generating Task-specific Robotic Grasps. CoRR abs/2203.10498 (2022) - [i18]Martin Rudorfer, Markus Suchi, Mohan Sridharan, Markus Vincze, Ales Leonardis:
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World. CoRR abs/2205.14099 (2022) - [i17]Hasra Dodampegama, Mohan Sridharan:
Toward a Reasoning and Learning Architecture for Ad Hoc Teamwork. CoRR abs/2208.11556 (2022) - [i16]Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna:
Object Goal Navigation using Data Regularized Q-Learning. CoRR abs/2208.13009 (2022) - [i15]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 abs/2208.13031 (2022) - [i14]Laura Ferrante, Mohan Sridharan, Claudio Zito, Dario Farina:
Toward a Framework for Adaptive Impedance Control of an Upper-limb Prosthesis. CoRR abs/2209.04937 (2022) - 2021
- [j17]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): 179-208 (2021) - [j16]Daniele Meli, Mohan Sridharan, Paolo Fiorini:
Inductive learning of answer set programs for autonomous surgical task planning. Mach. Learn. 110(7): 1739-1763 (2021) - [j15]Angel Andres Daruna, Mehul Gupta, Mohan Sridharan, Sonia Chernova:
Continual Learning of Knowledge Graph Embeddings. IEEE Robotics Autom. Lett. 6(2): 1128-1135 (2021) - [j14]Tiago Mota, Mohan Sridharan, Ales Leonardis:
Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. SN Comput. Sci. 2(4): 242 (2021) - [c69]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: 261-268 - [c68]Tiago Mota, Mohan Sridharan:
Answer me this: Constructing Disambiguation Queries for Explanation Generation in Robotics. ICDL 2021: 1-8 - [c67]Saif Sidhik, Mohan Sridharan, Dirk Ruiken:
Towards an Online Framework for Changing-Contact Robot Manipulation Tasks. IROS 2021: 5203-5210 - [i13]Angel Andres Daruna, Mehul Gupta, Mohan Sridharan, Sonia Chernova:
Continual Learning of Knowledge Graph Embeddings. CoRR abs/2101.05850 (2021) - [i12]Saif Sidhik, Mohan Sridharan, Dirk Ruiken:
Towards a Framework for Changing-Contact Robot Manipulation. CoRR abs/2106.10969 (2021) - [i11]Saif Sidhik, Mohan Sridharan, Dirk Ruiken:
An Adaptive Framework for Reliable Trajectory Following in Changing-Contact Robot Manipulation Tasks. CoRR abs/2111.07753 (2021) - 2020
- [c66]Mohan Sridharan:
REBA-KRL: Refinement-Based Architecture for Knowledge Representation, Explainable Reasoning and Interactive Learning in Robotics. ECAI 2020: 2935-2936 - [c65]Rocío Gómez, Mohan Sridharan, Heather Riley:
Towards a Theory of Intentions for Human-Robot Collaboration. EUMAS/AT 2020: 3-19 - [c64]Tiago Mota, Mohan Sridharan, Ales Leonardis:
Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics. EUMAS/AT 2020: 206-225 - [c63]Mohan Sridharan, Heather Riley:
Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering. EUMAS/AT 2020: 558-570 - [c62]Mohan Sridharan, Tiago Mota:
Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract). IJCAI 2020: 4760-4764 - [c61]Daniele Meli, Paolo Fiorini, Mohan Sridharan:
Towards inductive learning of surgical task knowledge: a preliminary case study of the peg transfer task. KES 2020: 440-449 - [i10]Shiqi Zhang, Mohan Sridharan:
A Survey of Knowledge-based Sequential Decision Making under Uncertainty. CoRR abs/2008.08548 (2020) - [i9]Tiago Mota, Mohan Sridharan:
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics. CoRR abs/2010.10645 (2020)
2010 – 2019
- 2019
- [j13]Heather Riley, Mohan Sridharan:
Integrating Non-monotonic Logical Reasoning and Inductive Learning With Deep Learning for Explainable Visual Question Answering. Frontiers Robotics AI 6: 125 (2019) - [j12]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: 87-180 (2019) - [j11]Mohan Sridharan, Ben Meadows:
Towards a Theory of Explanations for Human-Robot Collaboration. Künstliche Intell. 33(4): 331-342 (2019) - [c60]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: 222-229 - [c59]Tiago Mota, Mohan Sridharan:
Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots. Robotics: Science and Systems 2019 - [i8]Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Sewer Kopicki, Jeremy L. Wyatt:
Generative grasp synthesis from demonstration using parametric mixtures. CoRR abs/1906.11548 (2019) - [i7]Rocío Gómez, Mohan Sridharan, Heather Riley:
Towards a Theory of Intentions for Human-Robot Collaboration. CoRR abs/1907.13275 (2019) - [i6]Heather Riley, Mohan Sridharan:
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering. CoRR abs/1909.10650 (2019) - 2018
- [c58]Pat Langley, Mohan Sridharan, Ben Meadows:
Representation, Use, and Acquisition of Affordances in Cognitive Systems. AAAI Spring Symposia 2018 - [c57]Heather Riley, Mohan Sridharan:
Non-monotonic Logical Reasoning and Deep Learning for Explainable Visual Question Answering. HAI 2018: 11-19 - [c56]Tiago Mota, Mohan Sridharan:
Incrementally Grounding Expressions for Spatial Relations between Objects. IJCAI 2018: 1928-1934 - [i5]Ranjini Swaminathan, Mohan Sridharan, Katharine Hayhoe:
A Computational Framework for Modelling and Analyzing Ice Storms. CoRR abs/1805.04907 (2018) - 2017
- [j10]Mohan Sridharan, Gerald Tesauro, James A. Hendler:
Cognitive Computing. IEEE Intell. Syst. 32(4): 3-4 (2017) - [c55]Pat Langley, Ben Meadows, Mohan Sridharan, Dongkyu Choi:
Explainable Agency for Intelligent Autonomous Systems. AAAI 2017: 4762-4764 - [c54]Mohan Sridharan:
Integrating Knowledge Representation, Reasoning, and Learning for Human-Robot Interaction. AAAI Fall Symposia 2017: 69-76 - [c53]Mohan Sridharan, Ben Meadows, Rocío Gómez:
What Can I Not Do? Towards an Architecture for Reasoning about and Learning Affordances. ICAPS 2017: 461-470 - [c52]Lars Kunze, Mohan Sridharan, Christos Dimitrakakis, Jeremy L. Wyatt:
Adaptive sampling-based view planning under time constraints. ECMR 2017: 1-6 - [c51]Mohan Sridharan, Ben Meadows:
Learning Affordances for Assistive Robots. ICSR 2017: 1-11 - 2016
- [j9]Ben Meadows, Mohan Sridharan, Zenon Colaco:
Towards an Explanation Generation System for Robots: Analysis and Recommendations. Robotics 5(4): 21 (2016) - [c50]Mohan Sridharan:
Towards An Architecture for Representation, Reasoning and Learning in Human-Robot Collaboration. AAAI Spring Symposia 2016 - [c49]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: 34-49 - [c48]Mohan Sridharan, Ben Meadows:
Should I do that? using relational reinforcement learning and declarative programming to discover domain axioms. ICDL-EPIROB 2016: 252-259 - [c47]Mohan Sridharan, Michael Gelfond:
Using Knowledge Representation and Reasoning Tools in the Design of Robots. KnowProS@IJCAI 2016 - [c46]Mohan Sridharan, Ben Meadows, Zenon Colaco:
A tale of many explanations: towards an explanation generation system for robots. SAC 2016: 260-267 - 2015
- [j8]Shiqi Zhang, Mohan Sridharan, Jeremy L. Wyatt:
Mixed Logical Inference and Probabilistic Planning for Robots in Unreliable Worlds. IEEE Trans. Robotics 31(3): 699-713 (2015) - [c45]Batbold Myagmarjav, Mohan Sridharan:
Incremental Knowledge Acquisition with Selective Active Learning. AAMAS 2015: 1865-1866 - [c44]Batbold Myagmarjav, Mohan Sridharan:
Incremental Knowledge Acquisition with Selective Active Learning: (Doctoral Consortium). AAMAS 2015: 1993-1994 - [c43]Ranjini Swaminathan, Mohan Sridharan, Gillian Dobbie, Katharine Hayhoe:
Modeling Ice Storm Climatology. Australasian Conference on Artificial Intelligence 2015: 539-553 - [c42]Keith S. Jones, Barbara Cherry, Mohan Sridharan:
Formative Work Analysis to Design Caregiver Robots. HRI (Extended Abstracts) 2015: 99-100 - [c41]Batbold Myagmarjav, Mohan Sridharan:
Knowledge Acquisition with Selective Active Learning for Human-Robot Interaction. HRI (Extended Abstracts) 2015: 147-148 - [c40]Batbold Myagmarjav, Mohan Sridharan:
Incremental knowledge acquisition for human-robot collaboration. RO-MAN 2015: 809-814 - [i4]Zenon Colaco, Mohan Sridharan:
Mixed Logical and Probabilistic Reasoning for Planning and Explanation Generation in Robotics. CoRR abs/1508.00059 (2015) - [i3]Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt:
A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics. CoRR abs/1508.03891 (2015) - 2014
- [j7]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): 70-76 (2014) - [c39]Emilie Featherston, Mohan Sridharan, Susan Darling Urban, Joseph E. Urban:
DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots. AAAI 2014: 3031-3036 - [c38]Mohan Sridharan:
Committees. AAAI Spring Symposia 2014 - [c37]Mohan Sridharan:
Preface. AAAI Spring Symposia 2014 - [c36]Kimia Salmani, Mohan Sridharan:
Multi-Instance Active Learning with Online Labeling for Object Recognition. FLAIRS 2014 - [c35]Mohan Sridharan, Sarah Rainge:
Integrating Reinforcement Learning and Declarative Programming to Learn Causal Laws in Dynamic Domains. ICSR 2014: 320-329 - [c34]Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt:
Towards an Architecture for Knowledge Representation and Reasoning in Robotics. ICSR 2014: 400-410 - [i2]Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy L. Wyatt:
KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics. CoRR abs/1405.0999 (2014) - 2013
- [j6]Shiqi Zhang, Mohan Sridharan, Christian Washington:
Active Visual Planning for Mobile Robot Teams Using Hierarchical POMDPs. IEEE Trans. Robotics 29(4): 975-985 (2013) - [c33]Shiqi Zhang, Mohan Sridharan:
Integrating Declarative Programming and Probabilistic Planning for Robots. AAAI Fall Symposia 2013 - [c32]Mohan Sridharan:
Integrating Visual Learning and Hierarchical Planning for Autonomy in Human-Robot Collaboration. AAAI Spring Symposium: Designing Intelligent Robots 2013 - [c31]Xiang Li, Mohan Sridharan, Catie Meador:
Learning visual object models on a robot using context and appearance cues. AAMAS 2013: 1167-1168 - [c30]Xiang Li, Mohan Sridharan:
Move and the robot will learn: Vision-based autonomous learning of object models. ICAR 2013: 1-6 - [c29]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: 2819-2825 - [i1]Shiqi Zhang, Mohan Sridharan:
Combining Answer Set Programming and POMDPs for Knowledge Representation and Reasoning on Mobile Robots. CoRR abs/1307.8084 (2013) - 2012
- [c28]Shiqi Zhang, Forrest Sheng Bao, Mohan Sridharan:
Combining Probabilistic Planning and Logic Programming on Mobile Robots. AAAI 2012: 2461-2462 - [c27]Shiqi Zhang, Mohan Sridharan:
Active visual sensing and collaboration on mobile robots using hierarchical POMDPs. AAMAS 2012: 181-188 - [c26]Shiqi Zhang, Mohan Sridharan, Forrest Sheng Bao:
ASP+POMDP: Integrating non-monotonic logic programming and probabilistic planning on robots. ICDL-EPIROB 2012: 1-7 - 2011
- [c25]Shiqi Zhang, Mohan Sridharan:
Visual Search and Multirobot Collaboration Based on Hierarchical Planning. Automated Action Planning for Autonomous Mobile Robots 2011 - [c24]Mohan Sridharan:
Augmented Reinforcement Learning for Interaction with Non-expert Humans in Agent Domains. ICMLA (1) 2011: 424-429 - [c23]Shiqi Zhang, Mohan Sridharan, Xiang Li:
To look or not to look: A hierarchical representation for visual planning on mobile robots. ICRA 2011: 4461-4466 - [c22]Xiang Li, Mohan Sridharan, Shiqi Zhang:
Autonomous learning of vision-based layered object models on mobile robots. ICRA 2011: 6239-6244 - 2010
- [j5]Mohan Sridharan:
Bootstrap Learning and Visual Processing Management on Mobile Robots. Adv. Artif. Intell. 2010: 765876:1-765876:20 (2010) - [j4]Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden:
Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs. Artif. Intell. 174(11): 704-725 (2010) - [c21]Shilpa Gulati, Kristof Richmond, Christopher Flesher, Bart P. Hogan, Aniket Murarka, Gregory Kuhlmann, Mohan Sridharan, William C. Stone, Peter T. Doran:
Toward autonomous scientific exploration of ice-covered lakes - Field experiments with the ENDURANCE AUV in an Antarctic Dry Valley. ICRA 2010: 308-315 - [c20]Akbar Siami Namin, Mohan Sridharan, Pulkit Tomar:
Predicting multi-core performance: a case study using Solaris containers. IWMSE@ICSE 2010: 18-25 - [c19]Mohan Sridharan, Akbar Siami Namin:
Bayesian methods for data analysis in software engineering. ICSE (2) 2010: 477-478 - [c18]Mohan Sridharan, Akbar Siami Namin:
Prioritizing Mutation Operators Based on Importance Sampling. ISSRE 2010: 378-387 - [c17]Akbar Siami Namin, Mohan Sridharan:
Bayesian reasoning for software testing. FoSER 2010: 349-354 - [p2]Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Henrik Jacobsson, Richard Dearden, Aaron Sloman, Geert-Jan M. Kruijff:
Architecture and Representations. Cognitive Systems 2010: 51-93 - [p1]Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Marek Sewer Kopicki, Somboon Hongeng, Ian Calvert, Aaron Sloman, Geert-Jan M. Kruijff, Henrik Jacobsson, Michael Brenner, Danijel Skocaj, Alen Vrecko, Nikodem Majer, Michael Zillich:
The PlayMate System. Cognitive Systems 2010: 367-393
2000 – 2009
- 2009
- [j3]Mohan Sridharan, Peter Stone:
Color learning and illumination invariance on mobile robots: A survey. Robotics Auton. Syst. 57(6-7): 629-644 (2009) - [c16]Mohan Sridharan, Xiang Li:
Learning sensor models for autonomous information fusion on a humanoid robot. Humanoids 2009: 128-133 - 2008
- [c15]Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden:
HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. ICAPS 2008: 346-354 - [c14]Aniket Murarka, Mohan Sridharan, Benjamin Kuipers:
Detecting obstacles and drop-offs using stereo and motion cues for safe local motion. IROS 2008: 702-708 - [c13]Mohan Sridharan, Peter Stone:
Comparing Two Action Planning Approaches for Color Learning on a Mobile Robot. VISAPP (Workshop on Robot Perception) 2008: 43-52 - [c12]Mohan Sridharan, Peter Stone:
Long-Term vs. Greedy Action Planning for Color Learning on a Mobile Robot. VISAPP (2) 2008: 682-685 - 2007
- [j2]Mohan Sridharan, Peter Stone:
Structure-based color learning on a mobile robot under changing illumination. Auton. Robots 23(3): 161-182 (2007) - [c11]