Axel rover paddle wheel design, efficiency, and sinkage on deformable terrain. - Pablo Abad-Manterola; Joel W. Burdick; Issa A. D. Nesnas; Sandeep Chinchali; Christine Fuller; Xuecheng Zhou (ICRA, 2010)

Towards formal synthesis of reactive controllers for dexterous robotic manipulation. - Sandeep Chinchali; Scott C. Livingston; Ufuk Topcu; Joel W. Burdick; Richard M. Murray (ICRA, 2012)

Scheduling packets over multiple interfaces while respecting user preferences. - Kok-Kiong Yap; Te-Yuan Huang; Yiannis Yiakoumis; Sandeep Chinchali; Nick McKeown; Sachin Katti (CoNEXT, 2013)

Simultaneous model identification and task satisfaction in the presence of temporal logic constraints. - Sandeep P. Chinchali; Scott C. Livingston; Marco Pavone 001; Joel W. Burdick (ICRA, 2016)

NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters. - Kanthi Nagaraj; Dinesh Bharadia; Hongzi Mao; Sandeep Chinchali; Mohammad Alizadeh; Sachin Katti (SIGCOMM, 2016)

Erosion of Conserved Binding Sites in Personal Genomes Points to Medical Histories. - Harendra Guturu; Sandeep Chinchali; Shoa L. Clarke; Gill Bejerano (PLoS Comput. Biol., 2016)

Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models. - Sandeep P. Chinchali; Scott C. Livingston; Marco Pavone 001 (ISRR, 2017)

Cellular Network Traffic Scheduling With Deep Reinforcement Learning. - Sandeep Chinchali; Pan Hu 003; Tianshu Chu; Manu Sharma; Manu Bansal; Rakesh Misra; Marco Pavone 001; Sachin Katti (AAAI, 2018)

Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud. - Sandeep P. Chinchali; Eyal Cidon; Evgenya Pergament; Tianshu Chu; Sachin Katti (HotNets, 2018)

Multi-objective optimal control for proactive decision making with temporal logic models. - Sandeep P. Chinchali; Scott C. Livingston; Mo Chen 001; Marco Pavone 001 (Int. J. Robotics Res., 2019)

Multi-agent Reinforcement Learning for Networked System Control. - Tianshu Chu; Sandeep Chinchali; Sachin Katti (ICLR, 2020)

Sampling Training Data for Continual Learning Between Robots and the Cloud. - Sandeep Chinchali; Evgenya Pergament; Manabu Nakanoya; Eyal Cidon; Edward Zhang; Dinesh Bharadia; Marco Pavone 001; Sachin Katti (ISER, 2020)

Task-relevant Representation Learning for Networked Robotic Perception. - Manabu Nakanoya; Sandeep Chinchali; Alexandros Anemogiannis; Akul Datta; Sachin Katti; Marco Pavone 001 (CoRR, 2020)

Collaborative perception and learning between robots and the cloud. - Sandeep Chinchali (2020)

Decentralized Sharing and Valuation of Fleet Robotic Data. - Yuchong Geng; Dongyue Zhang; Po-han Li; Oguzhan Akcin; Ao Tang; Sandeep P. Chinchali (CoRL, 2021)

Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency. - Bineet Ghosh; Sandeep Chinchali; Parasara Sridhar Duggirala (IROS, 2021)

Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging. - Joseph Lubars; Harsh Gupta; Sandeep Chinchali; Liyun Li; Adnan Raja; R. Srikant 001; Xinzhou Wu (ITSC, 2021)

Data Sharing and Compression for Cooperative Networked Control. - Jiangnan Cheng; Marco Pavone 001; Sachin Katti; Sandeep Chinchali; Ao Tang (NeurIPS, 2021)

Co-Design of Communication and Machine Inference for Cloud Robotics. - Manabu Nakanoya; Sandeep Chinchali; Alexandros Anemogiannis; Akul Datta; Sachin Katti; Marco Pavone 001 (Robotics: Science and Systems, 2021)

Network offloading policies for cloud robotics: a learning-based approach. - Sandeep Chinchali; Apoorva Sharma; James Harrison; Amine Elhafsi; Daniel Kang; Evgenya Pergament; Eyal Cidon; Sachin Katti; Marco Pavone 001 (Auton. Robots, 2021)

Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes. - Mohd. Omama; Sundar Sripada V. S.; Sandeep Chinchali; K. Madhava Krishna (CoRR, 2021)

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving. - Manabu Nakanoya; Junha Im; Hang Qiu 001; Sachin Katti; Marco Pavone 001; Sandeep Chinchali (CoRR, 2021)

Adversarial Examples for Model-Based Control: A Sensitivity Analysis. - Po-han Li; Ufuk Topcu; Sandeep P. Chinchali (Allerton, 2022)

LADFN: Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes. - Mohd. Omama; Sundar Sripada V. S.; Sandeep Chinchali; K. Madhava Krishna (ACC, 2022)

Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control. - Shubhankar Agarwal; Sandeep P. Chinchali (CoRL, 2022)

Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach. - Oguzhan Akcin; Po-han Li; Shubhankar Agarwal; Sandeep P. Chinchali (CoRL, 2022)

Task-aware Privacy Preservation for Multi-dimensional Data. - Jiangnan Cheng; Ao Tang; Sandeep Chinchali (ICML, 2022)

Drift Reduced Navigation with Deep Explainable Features. - Mohd. Omama; Sundar Sripada V. S.; Sandeep Chinchali; Arun Kumar Singh 001; K. Madhava Krishna (IROS, 2022)

ML-EXray: Visibility into ML Deployment on the Edge. - Hang Qiu 001; Ioanna Vavelidou; Jian Li; Evgenya Pergament; Pete Warden; Sandeep Chinchali; Zain Asgar; Sachin Katti (MLSys, 2022)

Class-Aware Adversarial Transformers for Medical Image Segmentation. - Chenyu You; Ruihan Zhao 001; Fenglin Liu; Siyuan Dong; Sandeep Chinchali; Ufuk Topcu; Lawrence H. Staib; James S. Duncan (NeurIPS, 2022)

Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. - Chenyu You; Ruihan Zhao 001; Fenglin Liu; Sandeep Chinchali; Ufuk Topcu; Lawrence H. Staib; James S. Duncan (CoRR, 2022)

Task-Driven Data Augmentation for Vision-Based Robotic Control. - Shubhankar Agarwal; Sandeep P. Chinchali (CoRR, 2022)

Dynamic Selection of Perception Models for Robotic Control. - Bineet Ghosh; Masaad Khan; Adithya Ashok; Sandeep Chinchali; Parasara Sridhar Duggirala (CoRR, 2022)

A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics. - Oguzhan Akcin; Robert P. Streit; Benjamin Oommen; Sriram Vishwanath; Sandeep Chinchali (IACR Cryptol. ePrint Arch., 2022)

Poisoning Attacks Against Data-Driven Predictive Control. - Yue Yu 004; Ruihan Zhao 001; Sandeep Chinchali; Ufuk Topcu (ACC, 2023)

Differentially Private Timeseries Forecasts for Networked Control. - Po-han Li; Sandeep P. Chinchali; Ufuk Topcu (ACC, 2023)

Learning Adaptive Horizon Maps Based on Error Forecast for Model Predictive Control. - Carlos Gonzalez; SeungHyeon Bang; Po-han Li; Sandeep Chinchali; Luis Sentis (CDC, 2023)

Fleet Active Learning: A Submodular Maximization Approach. - Oguzhan Akcin; Orhan Unuvar; Onat Ure; Sandeep P. Chinchali (CoRL, 2023)

Learning-Based Model Predictive Control for User Association in Multi-Band Mobile Networks. - Manan Gupta; Sandeep Chinchali; Paul Parayil Varkey; Jeffrey G. Andrews (ICC, 2023)

Robust Forecasting for Robotic Control: A Game-Theoretic Approach. - Shubhankar Agarwal; David Fridovich-Keil; Sandeep P. Chinchali (ICRA, 2023)

Task-aware Network Coding over Butterfly Network. - Jiangnan Cheng; Sandeep Chinchali; Ao Tang (ISIT, 2023)

Co-Designing Socio-Technical Interventions with Skilled Trade Workers. - Chelsea Collier; Kenneth R. Fleischmann; Tina Lassiter; Sherri R. Greenberg; Raul G. Longoria; Sandeep Chinchali (ISTAS, 2023)

Task-aware Distributed Source Coding under Dynamic Bandwidth. - Po-han Li; Sravan Kumar Ankireddy; Ruihan Philip Zhao; Hossein Nourkhiz Mahjoub; Ehsan Moradi-Pari; Ufuk Topcu; Sandeep Chinchali; Hyeji Kim (NeurIPS, 2023)

Safe Networked Robotics via Formal Verification. - Sai Shankar Narasimhan; Sharachchandra Bhat; Sandeep P. Chinchali (CoRR, 2023)

Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations. - Ruihan Zhao 001; Ufuk Topcu; Sandeep Chinchali; Mariano Phielipp (CoRR, 2023)

Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection. - Oguzhan Akcin; Po-han Li; Shubhankar Agarwal; Sandeep Chinchali (CoRR, 2023)

Specification-Driven Video Search via Foundation Models and Formal Verification. - Yunhao Yang; Jean-Raphaël Gaglione; Sandeep Chinchali; Ufuk Topcu (CoRR, 2023)

ALT-Pilot: Autonomous navigation with Language augmented Topometric maps. - Mohammad Omama; Pranav Inani; Pranjal Paul; Sarat Chandra Yellapragada; Krishna Murthy Jatavallabhula; Sandeep Chinchali; K. Madhava Krishna (CoRR, 2023)

Using human and robot synthetic data for training smart hand tools. - Jose Bendana; Sundar Sripada V. S.; Carlos D. Salazar; Sandeep Chinchali; Raul G. Longoria (CoRR, 2023)

Co-design of communication and machine inference for cloud robotics. - Manabu Nakanoya; Sai Shankar Narasimhan; Sharachchandra Bhat; Alexandros Anemogiannis; Akul Datta; Sachin Katti; Sandeep Chinchali; Marco Pavone 001 (Auton. Robots, 2023)

ControlPay: An Adaptive Payment Controller for Blockchain Economies. - Oguzhan Akcin; Robert P. Streit; Benjamin Oommen; Sriram Vishwanath; Sandeep Chinchali (Blockchain, 2024)

Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations. - Ruihan Zhao 001; Ufuk Topcu; Sandeep P. Chinchali; Mariano Phielipp (CoRL, 2024)

Fleet Supervisor Allocation: A Submodular Maximization Approach. - Oguzhan Akcin; Ahmet Ege Tanriverdi; Kaan Kale; Sandeep P. Chinchali (CoRL, 2024)

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning. - Georgios Bakirtzis; Michail Savvas; Ruihan Zhao 001; Sandeep Chinchali; Ufuk Topcu (ECAI, 2024)

Towards Neuro-Symbolic Video Understanding. - Minkyu Choi 001; Harsh Goel; Mohammad Omama; Yunhao Yang; Sahil Shah; Sandeep Chinchali (ECCV (78), 2024)

AI as an Emancipatory Technology: Smart Hand Tools for Skilled Trade Workers. - Chelsea Collier; Tina Lassiter; Kenneth R. Fleischmann; Sherri R. Greenberg; Raul G. Longoria; Sandeep Chinchali (HICSS, 2024)

Time Weaver: A Conditional Time Series Generation Model. - Sai Shankar Narasimhan; Shubhankar Agarwal; Oguzhan Akcin; Sujay Sanghavi; Sandeep P. Chinchali (ICML, 2024)

SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures. - Oguzhan Baser; Kaan Kale; Sandeep P. Chinchali (INTERSPEECH, 2024)

Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging. - Siddhartha Kapuria; Jeff Bonyun; Yash Kulkarni; Naruhiko Ikoma; Sandeep Chinchali; Farshid Alambeigi (IROS, 2024)

PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems. - Aditya Narayanan; Pranav Kasibhatla; Minkyu Choi 001; Po-han Li; Ruihan Zhao 001; Sandeep Chinchali (IROS, 2024)

Joint learning of reward machines and policies in environments with partially known semantics. - Christos K. Verginis; Cevahir Köprülü; Sandeep Chinchali; Ufuk Topcu (Artif. Intell., 2024)

Online Foundation Model Selection in Robotics. - Po-han Li; Öykü Selin Toprak; Aditya Narayanan; Ufuk Topcu; Sandeep Chinchali (CoRR, 2024)

Neuro-Symbolic Video Search. - Minkyu Choi 001; Harsh Goel; Mohammad Omama; Yunhao Yang; Sahil Shah; Sandeep Chinchali (CoRR, 2024)

Should we use model-free or model-based control? A case study of battery management systems. - Mohamad Fares El Hajj Chehade; Young-ho Cho; Sandeep Chinchali; Hao Zhu (CoRR, 2024)

Constrained Posterior Sampling: Time Series Generation with Hard Constraints. - Sai Shankar Narasimhan; Shubhankar Agarwal; Litu Rout; Sanjay Shakkottai; Sandeep P. Chinchali (CoRR, 2024)

Context Matters: Leveraging Contextual Features for Time Series Forecasting. - Sameep Chattopadhyay; Pulkit Paliwal; Sai Shankar Narasimhan; Shubhankar Agarwal; Sandeep P. Chinchali (CoRR, 2024)

Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction. - Po-han Li; Yunhao Yang; Mohammad Omama; Sandeep Chinchali; Ufuk Topcu (CoRR, 2024)

SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models. - Harsh Goel; Sai Shankar Narasimhan; Oguzhan Akcin; Sandeep Chinchali (CoRR, 2024)

Optimization-Free Image Immunization Against Diffusion-Based Editing. - Tarik Can Ozden; Ozgur Kara; Oguzhan Akcin; Kerem Zaman; Shashank Srivastava; Sandeep P. Chinchali; James M. Rehg (CoRR, 2024)

Safe Networked Robotics With Probabilistic Verification. - Sai Shankar Narasimhan; Sharachchandra Bhat; Sandeep P. Chinchali (IEEE Robotics Autom. Lett., 2024)

Forecaster-Aided User Association and Load Balancing in Multi-Band Mobile Networks. - Manan Gupta; Sandeep Chinchali; Paul Parayil Varkey; Jeffrey G. Andrews (IEEE Trans. Wirel. Commun., 2024)

Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification. - S. P. Sharan; Minkyu Choi 001; Sahil Shah; Harsh Goel; Mohammad Omama; Sandeep Chinchali (CVPR, 2025)

CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features. - Po-han Li; Sandeep P. Chinchali; Ufuk Topcu (ICLR, 2025)

Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval. - Mohammad Omama; Po-han Li; Sandeep P. Chinchali (ICLR, 2025)

Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent. - Shenghui Chen; Ruihan Zhao 001; Sandeep Chinchali; Ufuk Topcu (AAMAS, 2025)

Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. - Cevahir Köprülü; Po-han Li; Tianyu Qiu; Ruihan Zhao 001; Tyler Westenbroek; David Fridovich-Keil; Sandeep Chinchali; Ufuk Topcu (L4DC, 2025)

A Challenge to Build Neuro-Symbolic Video Agents. - Sahil Shah; Harsh Goel; Sai Shankar Narasimhan; Minkyu Choi 001; S. P. Sharan; Oguzhan Akcin; Sandeep Chinchali (NeuS, 2025)

Synthetic data-augmented explainable Vision Transformer for colorectal cancer diagnosis via surface tactile imaging. - Siddhartha Kapuria; Naruhiko Ikoma; Sandeep Chinchali; Farshid Alambeigi (Eng. Appl. Artif. Intell., 2025)

A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games. - Shubhankar Agarwal; Hamzah Khan; Sandeep P. Chinchali; David Fridovich-Keil (Trans. Mach. Learn. Res., 2025)

Learning Human Perception Dynamics for Informative Robot Communication. - Shenghui Chen; Ruihan Zhao 001; Sandeep Chinchali; Ufuk Topcu (CoRR, 2025)

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback. - Minkyu Choi 001; S. P. Sharan; Harsh Goel; Sahil Shah; Sandeep Chinchali (CoRR, 2025)

EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices. - Arnab Sanyal; Prithwish Mukherjee; Gourav Datta; Sandeep P. Chinchali (CoRR, 2025)

Real-Time Privacy Preservation for Robot Visual Perception. - Minkyu Choi 001; Yunhao Yang; Neel P. Bhatt; Kushagra Gupta; Sahil Shah; Aditya Rai; David Fridovich-Keil; Ufuk Topcu; Sandeep P. Chinchali (CoRR, 2025)

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning. - Harsh Goel; Mohammad Omama; Behdad Chalaki; Vaishnav Tadiparthi; Ehsan Moradi-Pari; Sandeep Chinchali (CoRR, 2025)

PhonemeFake: Redefining Deepfake Realism with Language-Driven Segmental Manipulation and Adaptive Bilevel Detection. - Oguzhan Baser; Ahmet Ege Tanriverdi; Sriram Vishwanath; Sandeep P. Chinchali (CoRR, 2025)

WavShape: Information-Theoretic Speech Representation Learning for Fair and Privacy-Aware Audio Processing. - Oguzhan Baser; Ahmet Ege Tanriverdi; Kaan Kale; Sandeep P. Chinchali; Sriram Vishwanath (CoRR, 2025)

CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control. - Yifeng Zhang; Harsh Goel; Peizhuo Li; Mehul Damani; Sandeep Chinchali; Guillaume Sartoretti (IEEE Trans. Intell. Transp. Syst., 2025)