Sandeep Chinchali

Orcid: 0000-0002-0601-3633

According to our database1, Sandeep Chinchali authored at least 55 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Safe Networked Robotics With Probabilistic Verification.
IEEE Robotics Autom. Lett., 2024

Online Foundation Model Selection in Robotics.
CoRR, 2024

AI as an Emancipatory Technology: Smart Hand Tools for Skilled Trade Workers.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
Co-design of communication and machine inference for cloud robotics.
Auton. Robots, June, 2023

Using human and robot synthetic data for training smart hand tools.
CoRR, 2023

ALT-Pilot: Autonomous navigation with Language augmented Topometric maps.
CoRR, 2023

Specification-Driven Video Search via Foundation Models and Formal Verification.
CoRR, 2023

Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection.
CoRR, 2023

Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations.
CoRR, 2023

Safe Networked Robotics via Formal Verification.
CoRR, 2023

Forecaster-aided User Association and Load Balancing in Multi-band Mobile Networks.
CoRR, 2023

Task-aware Distributed Source Coding under Dynamic Bandwidth.
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.
Proceedings of the IEEE International Symposium on Technology and Society, 2023

Task-aware Network Coding over Butterfly Network.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Robust Forecasting for Robotic Control: A Game-Theoretic Approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning-Based Model Predictive Control for User Association in Multi-Band Mobile Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Fleet Active Learning: A Submodular Maximization Approach.
Proceedings of the Conference on Robot Learning, 2023

Learning Adaptive Horizon Maps Based on Error Forecast for Model Predictive Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Differentially Private Timeseries Forecasts for Networked Control.
Proceedings of the American Control Conference, 2023

Poisoning Attacks Against Data-Driven Predictive Control.
Proceedings of the American Control Conference, 2023

2022
A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics.
IACR Cryptol. ePrint Arch., 2022

Dynamic Selection of Perception Models for Robotic Control.
CoRR, 2022

Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics.
CoRR, 2022

Task-Driven Data Augmentation for Vision-Based Robotic Control.
CoRR, 2022

Class-Aware Generative Adversarial Transformers for Medical Image Segmentation.
CoRR, 2022

Class-Aware Adversarial Transformers for Medical Image Segmentation.
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.
Proceedings of Machine Learning and Systems 2022, 2022

Drift Reduced Navigation with Deep Explainable Features.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Task-aware Privacy Preservation for Multi-dimensional Data.
Proceedings of the International Conference on Machine Learning, 2022

Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach.
Proceedings of the Conference on Robot Learning, 2022

Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control.
Proceedings of the Conference on Robot Learning, 2022

LADFN: Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes.
Proceedings of the American Control Conference, 2022

Adversarial Examples for Model-Based Control: A Sensitivity Analysis.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving.
CoRR, 2021

Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes.
CoRR, 2021

Network offloading policies for cloud robotics: a learning-based approach.
Auton. Robots, 2021

Co-Design of Communication and Machine Inference for Cloud Robotics.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Data Sharing and Compression for Cooperative Networked Control.
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.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Decentralized Sharing and Valuation of Fleet Robotic Data.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Collaborative perception and learning between robots and the cloud.
PhD thesis, 2020

Task-relevant Representation Learning for Networked Robotic Perception.
CoRR, 2020

Sampling Training Data for Continual Learning Between Robots and the Cloud.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Multi-agent Reinforcement Learning for Networked System Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Multi-objective optimal control for proactive decision making with temporal logic models.
Int. J. Robotics Res., 2019

2018
Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud.
Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018

Cellular Network Traffic Scheduling With Deep Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

2016
Erosion of Conserved Binding Sites in Personal Genomes Points to Medical Histories.
PLoS Comput. Biol., 2016

NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Simultaneous model identification and task satisfaction in the presence of temporal logic constraints.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2013
Scheduling packets over multiple interfaces while respecting user preferences.
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2013

2012
Towards formal synthesis of reactive controllers for dexterous robotic manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2010
Axel rover paddle wheel design, efficiency, and sinkage on deformable terrain.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010


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