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@inproceedings{DhKuDeICRA2014,
author = {Dhiman, V. and Kundu, A. and Dellaert, F. and Corso, J. J.},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
title = {Modern {MAP} Inference Methods for Accurate and Faster Occupancy Grid Mapping on Higher Order Factor Graphs},
venue = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2014},
url = {https://github.com/wecacuee/modern-occupancy-grid},
doi = {10.1109/ICRA.2014.6907129}
}
@inproceedings{DhRyCoIROS2013,
author = {Dhiman, V. and Ryde, J. and Corso, J. J.},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
title = {Mutual Localization: Two Camera Relative 6-DOF Pose Estimation from Reciprocal Fiducial Observation},
venue = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2013},
url = {https://mutual-localization.readthedocs.io/en/latest/intro.html},
doi = {10.1109/IROS.2013.6696524}
}
@inproceedings{KuDhCoAAAI2014,
author = {S. Kumar and
V. Dhiman and
J. J. Corso},
editor = {Carla E. Brodley and
Peter Stone},
title = {Learning Compositional Sparse Models of Bimodal Percepts},
booktitle = {Proceedings of {AAAI} Conference on Artificial Intelligence},
pages = {366--372},
publisher = {{AAAI} Press},
year = {2014},
url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8316},
timestamp = {Thu, 31 Jul 2014 09:00:19 +0200},
biburl = {https://dblp.org/rec/conf/aaai/KumarDC14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{RyDhPlIROS2013,
title = {Voxel Planes: Rapid Visualization and Meshification of Point Cloud Ensembles},
author = {Ryde, J. and Dhiman, V. and Platt, R.},
venue = {IROS},
year = {2013},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
local-url = {./pdf/RyDhPlIROS2013-Ryde+Dhiman+Platt-Voxel_Planes_Rapid_Visualization_and_Meshification_of_Point_Cloud_Ensembles-0.pdf},
url = {https://cse.buffalo.edu/~jryde/publications/iros2013_voxel_planes.pdf}
}
@inproceedings{DhTrCoCVPR2016,
author = {Dhiman, V. and Tran, Q. and Corso, J. and Chandraker, M.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {A Continuous Occlusion Model for Road Scene Understanding},
year = {2016},
volume = {},
number = {},
pages = {4331-4339},
doi = {10.1109/CVPR.2016.469},
issn = {},
month = {June}
}
@article{kumar2017learning,
author = {S. {Kumar} and V. Dhiman and P. A. {Koch} and J. J. {Corso}},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
title = {Learning Compositional Sparse Bimodal Models},
year = {2018},
volume = {40},
number = {5},
pages = {1032-1044},
doi = {10.1109/TPAMI.2017.2693987},
url = {http://web.eecs.umich.edu/~jjcorso/pubs/aaai2014_kumar_final.pdf}
}
@article{DBLP:journals/corr/abs-1802-02274,
author = {V. Dhiman$^*$ and
S. Banerjee$^*$ and
B. Griffin and
J. M. Siskind and
J. J. Corso},
title = {A Critical Investigation of Deep Reinforcement Learning for Navigation},
journal = {(preprint) ArXiV },
volume = {abs/1802.02274},
year = {2018},
url = {http://arxiv.org/abs/1802.02274},
archiveprefix = {arXiv},
eprint = {1802.02274},
timestamp = {Thu, 01 Mar 2018 15:00:45 +0100},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1802-02274},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{dhiman2019learning,
title = {Learning Goal-Conditioned Value Functions with one-step Path rewards rather than Goal-Rewards},
author = {V. Dhiman and S. Banerjee and J. M. Siskind and J. J. Corso},
booktitle = {(preprint) Open Review},
year = {2019},
url = {https://openreview.net/forum?id=BkesGnCcFX}
}
@inproceedings{khojasteh2020probabilistic,
title = {Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics},
author = {Khojasteh$^*$, M. J. and Dhiman$^*$, V. and Franceschetti, M. and Atanasov, N.},
booktitle = {Proceedings of the 2nd Conference on Learning for Dynamics and Control},
pages = {781--792},
year = {2020},
volume = {120},
series = {Proceedings of Machine Learning Research},
address = {The Cloud},
month = {10--11 Jun},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v120/khojasteh20a/khojasteh20a.pdf},
url = {http://proceedings.mlr.press/v120/khojasteh20a.html},
abstract = {This paper focuses on learning a model of system dynamics online while satisfying safety constraints. Our motivation is to avoid offline system identification or hand-specified dynamics models and allow a system to safely and autonomously estimate and adapt its own model during online operation. Given streaming observations of the system state, we use Bayesian learning to obtain a distribution over the system dynamics. In turn, the distribution is used to optimize the system behavior and ensure safety with high probability, by specifying a chance constraint over a control barrier function.}
}
@inproceedings{wangICRA2020LearningCosts,
author = {T. {Wang} and V. Dhiman and N. {Atanasov}},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
title = {Learning Navigation Costs from Demonstration in Partially Observable Environments},
year = {2020},
volume = {},
number = {},
pages = {4434-4440},
doi = {10.1109/ICRA40945.2020.9197199},
url = {https://tianyudwang.github.io/publications/ICRA20}
}
@inproceedings{wangL4DC2020LearningSemanticCosts,
title = {Learning Navigation Costs from Demonstration with Semantic Observations},
author = {Wang, T. and Dhiman, V. and Atanasov, N.},
booktitle = {Learning for Dynamics and Control},
year = {2020},
organization = {PMLR},
url = {https://tianyudwang.github.io/sirl}
}
@inproceedings{biAAAI2020learningFromInterventions,
title = {Learning from interventions using hierarchical policies for safe learning},
author = {Bi, J. and Dhiman, V. and Xiao, T. and Xu, C.},
booktitle = {{AAAI} Conference on Artificial Intelligence},
volume = {34},
number = {06},
pages = {10352--10360},
year = {2020},
url = {https://www.cs.rochester.edu/~cxu22/p/aaai2020_lfi_paper.pdf}
}
@article{dhimanTAC2020controlbarriers,
title = {Control Barriers in Bayesian Learning of System Dynamics},
author = {Dhiman$^*$, V. and Khojasteh$^*$, M. J. and Franceschetti, M. and Atanasov, N.},
journal = {IEEE Transactions on Automatic Control},
year = {2021},
volume = {},
number = {},
pages = {1-1},
doi = {10.1109/TAC.2021.3137059},
url = {https://vikasdhiman.info/Bayesian_CBF/},
eprint = {2012.14964},
archiveprefix = {arXiv},
primaryclass = {cs.RO}
}
@article{wangIJRR2023inverseRL,
title = {Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning},
author = {Wang, T. and Dhiman, V. and Atanasov, N.},
year = {2023},
journal = {Autonomous Robots},
url = {https://tianyudwang.github.io/sirl},
doi = {10.1007/s10514-023-10118-4},
volume = {47},
number = {5}
}
@article{shanTRO2020OrcVIO,
title = {{OrcVIO}: {Object} residual constrained {Visual-Inertial} {Odometry}},
author = {Shan, M. and Dhiman, V. and Feng, Q. and Li, J. and Atanasov, N.},
journal = {IEEE Transactions on Robotics (Under Review)},
year = {2020 (Submitted)}
}
@article{long2022safe,
author = {Long, K. and Dhiman, V. and Leok, M. and Cortés, J. and
Atanasov, N.},
journal = {IEEE Robotics and Automation Letters},
title = {Safe Control Synthesis With Uncertain Dynamics and Constraints},
year = {2022},
volume = {},
number = {},
pages = {1-8},
doi = {10.1109/LRA.2022.3182544}
}
@inproceedings{nieto2020distributed,
title = {Distributed Heterogeneous Multi-robot Source Seeking Using Information Based Sampling with Visual Recognition},
author = {Nieto-Granda, C. and Wang, S. and Dhiman, V. and Rogers, J. and
Christensen, H.},
booktitle = {International Symposium on Experimental Robotics},
pages = {462--471},
year = {2020},
organization = {Springer}
}
@inproceedings{langley2021heterogeneous,
title = {Heterogeneous multi-robot adversarial patrolling using polymatrix games},
author = {Langley, A. and Dhiman, V. and Christensen, H.},
booktitle = {International Symposium on Automation, Mechanical and Design Engineering},
pages = {13--27},
year = {2021},
organization = {Springer},
pdf = {pdfs/2021-langley-adversarial-patrolling.pdf}
}
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