Sandeep Chinchali

Sharachchandra Bhat

IEEE Robotics Autom. Lett., 2024

Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent.

[BibT_eX]

[DOI]

CoRR, 2024

Context Matters: Leveraging Contextual Features for Time Series Forecasting.

[BibT_eX]

[DOI]

Sameep Chattopadhyay

Pulkit Paliwal

CoRR, 2024

Constrained Posterior Sampling: Time Series Generation with Hard Constraints.

[BibT_eX]

[DOI]

CoRR, 2024

CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features.

[BibT_eX]

[DOI]

CoRR, 2024

Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval.

[BibT_eX]

[DOI]

Mohammad Omama

Mohamad Fares El Hajj Chehade

CoRR, 2024

PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging.

[BibT_eX]

[DOI]

CoRR, 2024

Should we use model-free or model-based control? A case study of battery management systems.

[BibT_eX]

[DOI]

Young-ho Cho

Hao Zhu

CoRR, 2024

SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures.

[BibT_eX]

[DOI]

Oguzhan Baser

Kaan Kale

CoRR, 2024

Neuro-Symbolic Video Search.

[BibT_eX]

[DOI]

CoRR, 2024

Online Foundation Model Selection in Robotics.

[BibT_eX]

[DOI]

CoRR, 2024

Joint learning of reward machines and policies in environments with partially known semantics.

[BibT_eX]

[DOI]

Artif. Intell., 2024

Time Weaver: A Conditional Time Series Generation Model.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AI as an Emancipatory Technology: Smart Hand Tools for Skilled Trade Workers.

[BibT_eX]

[DOI]

Chelsea Collier

Tina Lassiter

Kenneth R. Fleischmann

Sherri R. Greenberg

Raul G. Longoria

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Towards Neuro-Symbolic Video Understanding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ControlPay: An Adaptive Payment Controller for Blockchain Economies.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Blockchain, 2024

2023

Co-design of communication and machine inference for cloud robotics.

[BibT_eX]

[DOI]

Manabu Nakanoya

Sarat Chandra Yellapragada

Sharachchandra Bhat

Alexandros Anemogiannis

Auton. Robots, June, 2023

Using human and robot synthetic data for training smart hand tools.

[BibT_eX]

[DOI]

CoRR, 2023

ALT-Pilot: Autonomous navigation with Language augmented Topometric maps.

[BibT_eX]

[DOI]

Mohammad Omama

Pranav Inani

Pranjal Paul

Krishna Murthy Jatavallabhula

K. Madhava Krishna

CoRR, 2023

Specification-Driven Video Search via Foundation Models and Formal Verification.

[BibT_eX]

[DOI]

Yunhao Yang

Jean-Raphaël Gaglione

CoRR, 2023

Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations.

[BibT_eX]

[DOI]

CoRR, 2023

Safe Networked Robotics via Formal Verification.

[BibT_eX]

[DOI]

Sharachchandra Bhat

CoRR, 2023

Task-aware Distributed Source Coding under Dynamic Bandwidth.

[BibT_eX]

[DOI]

Sravan Kumar Ankireddy

Ruihan Philip Zhao

Hossein Nourkhiz Mahjoub

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Co-Designing Socio-Technical Interventions with Skilled Trade Workers.

[BibT_eX]

[DOI]

Chelsea Collier

Kenneth R. Fleischmann

Proceedings of the IEEE International Symposium on Technology and Society, 2023

Task-aware Network Coding over Butterfly Network.

[BibT_eX]

[DOI]

Jiangnan Cheng

Ao Tang

Proceedings of the IEEE International Symposium on Information Theory, 2023

Robust Forecasting for Robotic Control: A Game-Theoretic Approach.

[BibT_eX]

[DOI]

David Fridovich-Keil

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning-Based Model Predictive Control for User Association in Multi-Band Mobile Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Fleet Active Learning: A Submodular Maximization Approach.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Learning Adaptive Horizon Maps Based on Error Forecast for Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Differentially Private Timeseries Forecasts for Networked Control.

[BibT_eX]

[DOI]

Parasara Sridhar Duggirala

Proceedings of the American Control Conference, 2023

Poisoning Attacks Against Data-Driven Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

Dynamic Selection of Perception Models for Robotic Control.

[BibT_eX]

[DOI]

CoRR, 2022

Task-Driven Data Augmentation for Vision-Based Robotic Control.

[BibT_eX]

[DOI]

CoRR, 2022

Class-Aware Generative Adversarial Transformers for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Class-Aware Adversarial Transformers for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ML-EXray: Visibility into ML Deployment on the Edge.

[BibT_eX]

[DOI]

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Drift Reduced Navigation with Deep Explainable Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Task-aware Privacy Preservation for Multi-dimensional Data.

[BibT_eX]

[DOI]

Jiangnan Cheng

Ao Tang

Proceedings of the International Conference on Machine Learning, 2022

Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

LADFN: Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

Adversarial Examples for Model-Based Control: A Sensitivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes.

[BibT_eX]

[DOI]

CoRR, 2021

Network offloading policies for cloud robotics: a learning-based approach.

[BibT_eX]

[DOI]

Auton. Robots, 2021

Co-Design of Communication and Machine Inference for Cloud Robotics.

[BibT_eX]

[DOI]

Manabu Nakanoya

Alexandros Anemogiannis

Akul Datta

Sachin Katti

Marco Pavone

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Data Sharing and Compression for Cooperative Networked Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency.

[BibT_eX]

[DOI]

Bineet Ghosh

Parasara Sridhar Duggirala

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Decentralized Sharing and Valuation of Fleet Robotic Data.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Collaborative perception and learning between robots and the cloud.

[BibT_eX]

[DOI]

PhD thesis, 2020

Task-relevant Representation Learning for Networked Robotic Perception.

[BibT_eX]

[DOI]

Manabu Nakanoya

Alexandros Anemogiannis

Akul Datta

Sachin Katti

Marco Pavone

CoRR, 2020

Sampling Training Data for Continual Learning Between Robots and the Cloud.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Multi-agent Reinforcement Learning for Networked System Control.

[BibT_eX]

[DOI]

Tianshu Chu

Sachin Katti

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Multi-objective optimal control for proactive decision making with temporal logic models.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2019

2018

Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018

Cellular Network Traffic Scheduling With Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models.

[BibT_eX]

[DOI]