Research themes

@inproceedings{baser2025fairsynergy,
  title = {FairSynergy: Fair Resource Allocation for Fleet Intelligence},
  author = {Baser, Oguzhan and Kale, Kaan and Li, Po-han and Chinchali, Sandeep},
  booktitle = {IEEE Global Communications Conference (GLOBECOM)},
  year = {2025},
  url = {https://arxiv.org/abs/2509.03353},
  arxiv = {https://arxiv.org/abs/2509.03353}
}

@inproceedings{akcin2024fleet,
  title = {Fleet Supervisor Allocation: A Submodular Maximization Approach},
  author = {Akcin, Oguzhan and Tanriverdi, Ahmet Ege and Kale, Kaan and Chinchali, Sandeep P.},
  booktitle = {8th Annual Conference on Robot Learning},
  year = {2024},
  url = {https://openreview.net/forum?id=9dsBQhoqVr}
}

@inproceedings{zhao2023learning,
  title = {Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations},
  author = {Zhao, Ruihan and Topcu, Ufuk and Chinchali, Sandeep and Phielipp, Mariano},
  booktitle = {8th Annual Conference on Robot Learning},
  year = {2024},
  arxiv = {https://arxiv.org/abs/2302.14242}
}

@inproceedings{Narayanan_2024_PEERNet,
  title = {PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems},
  author = {Narayanan, Aditya and Kasibhatla, Pranav and Choi, Minkyu and Li, Po-han and Zhao, Ruihan and Chinchali, Sandeep},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
  organization = {IEEE},
  url = {https://arxiv.org/abs/2409.06078},
  arxiv = {https://arxiv.org/abs/2409.06078}
}

@inproceedings{akcin2023fleet,
  title = {Fleet Active Learning: A Submodular Maximization Approach},
  author = {Akcin, Oguzhan and Unuvar, Orhan and Ure, Onat and Chinchali, Sandeep P.},
  booktitle = {7th Annual Conference on Robot Learning},
  year = {2023},
  url = {https://openreview.net/forum?id=low-53sFqn}
}

@inproceedings{akcin2022decentralized,
  title = {Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach},
  author = {Akcin, Oguzhan and Li, Po-han and Agarwal, Shubhankar and Chinchali, Sandeep P.},
  booktitle = {Proceedings of The 6th Conference on Robot Learning},
  pages = {978--988},
  year = {2022},
  organization = {PMLR},
  url = {https://proceedings.mlr.press/v205/akcin23a.html},
  arxiv = {https://arxiv.org/abs/2303.03602},
  pdf = {https://proceedings.mlr.press/v205/akcin23a/akcin23a.pdf}
}

@inproceedings{geng2022decentralized,
  title = {Decentralized Sharing and Valuation of Fleet Robotic Data},
  author = {Geng, Yuchong and Zhang, Dongyue and Li, Po-han and Akcin, Oguzhan and Tang, Ao and Chinchali, Sandeep P},
  booktitle = {Proceedings of the 5th Conference on Robot Learning},
  pages = {1795--1800},
  year = {2021},
  organization = {PMLR},
  url = {https://proceedings.mlr.press/v164/geng22a.html},
  pdf = {https://proceedings.mlr.press/v164/geng22a/geng22a.pdf}
}

@inproceedings{cheng2021data,
  title = {Data Sharing and Compression for Cooperative Networked Control},
  author = {Cheng, Jiangnan and Pavone, Marco and Katti, Sachin and Chinchali, Sandeep and Tang, Ao},
  booktitle = {Advances in Neural Information Processing Systems},
  volume = {34},
  pages = {5947--5958},
  year = {2021},
  arxiv = {https://arxiv.org/abs/2109.14675}
}

@misc{nakanoya2021personalized,
  title = {Personalized Federated Learning of Driver Prediction Models for Autonomous Driving},
  author = {Nakanoya, Manabu and Im, Junha and Qiu, Hang and Katti, Sachin and Pavone, Marco and Chinchali, Sandeep},
  year = {2021},
  howpublished = {arXiv preprint arXiv:2112.00956},
  url = {https://arxiv.org/abs/2112.00956},
  arxiv = {https://arxiv.org/abs/2112.00956}
}

@article{chinchali2021network,
  title = {Network offloading policies for cloud robotics: a learning-based approach},
  author = {Chinchali, Sandeep and Sharma, Apoorva and Harrison, James and Elhafsi, Amine and Kang, Daniel and Pergament, Evgenya and Cidon, Eyal and Katti, Sachin and Pavone, Marco},
  journal = {Autonomous Robots},
  volume = {45},
  number = {7},
  pages = {997--1012},
  year = {2021},
  publisher = {Springer},
  arxiv = {https://arxiv.org/abs/1902.05703}
}

@inproceedings{lubars2021combining,
  title = {Combining reinforcement learning with model predictive control for on-ramp merging},
  author = {Lubars, Joseph and Gupta, Harsh and Chinchali, Sandeep and Li, Liyun and Raja, Adnan and Srikant, R and Wu, Xinzhou},
  booktitle = {2021 IEEE International Intelligent Transportation Systems Conference (ITSC)},
  pages = {942--947},
  year = {2021},
  organization = {IEEE},
  arxiv = {https://arxiv.org/abs/2011.08484}
}