Girish Chowdhary
Orcid: 0000-0002-4657-307XAffiliations:
- University of Illinois at Urbana-Champaign, Champaign, IL, USA
- Georgia Institute of Technology, School of Aerospace Engineering, Atlanta, GA, USA (PhD 2010)
According to our database1,
Girish Chowdhary
authored at least 149 papers
between 2009 and 2024.
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Bibliography
2024
Mobile robotics platform for strawberry sensing and harvesting within precision indoor farming systems.
J. Field Robotics, October, 2024
W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics.
IEEE Robotics Autom. Lett., June, 2024
Under-canopy dataset for advancing simultaneous localization and mapping in agricultural robotics.
Int. J. Robotics Res., 2024
Neurocomputing, 2024
CoRR, 2024
A Neural Network-based Framework for Fast and Smooth Posture Reconstruction of a Soft Continuum Arm.
CoRR, 2024
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry.
CoRR, 2024
Lessons from Deploying CropFollow++: Under-Canopy Agricultural Navigation with Keypoints.
CoRR, 2024
DeepSRGM - Sequence Classification and Ranking in Indian Classical Music with Deep Learning.
CoRR, 2024
AIFARMS: Artificial intelligence for future agricultural resilience, management, and sustainability.
AI Mag., 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Distributed State Estimation With Deep Neural Networks for Uncertain Nonlinear Systems Under Event-Triggered Communication.
IEEE Trans. Autom. Control., May, 2023
J. Intell. Robotic Syst., 2023
Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting.
CoRR, 2023
CoRR, 2023
ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Unmatched Uncertainty Mitigation Through Neural Network Supported Model Predictive Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Field Robotics, March, 2022
IEEE Trans. Robotics, 2022
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
IEEE Control. Syst. Lett., 2022
Comput. Electron. Agric., 2022
Proceedings of the Conference on Robot Learning, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Task Learning, Intent Prediction, and Adaptive Blended Shared Control With Application to Excavators.
IEEE Trans. Control. Syst. Technol., 2021
IEEE Robotics Autom. Lett., 2021
High Throughput Soybean Pod-Counting with In-Field Robotic Data Collection and Machine-Vision Based Data Analysis.
CoRR, 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
3D Detection and Tracking for On-road Vehicles with a Monovision Camera and Dual Low-cost 4D mmWave Radars.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Comput. Electron. Agric., 2020
High precision control and deep learning-based corn stand counting algorithms for agricultural robot.
Auton. Robots, 2020
Proceedings of the Robotics: Science and Systems XVI, 2020
Proceedings of the Robotics: Science and Systems XVI, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Tracking Error Learning Control for Precise Mobile Robot Path Tracking in Outdoor Environment.
J. Intell. Robotic Syst., 2019
J. Field Robotics, 2019
Comput. Electron. Agric., 2019
DeepSRGM - Sequence Classification and Ranking in Indian Classical Music Via Deep Learning.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Hybrid Direct-Indirect Adaptive Control of Nonlinear System with Unmatched Uncertainty.
Proceedings of the 6th International Conference on Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
High-precision control of tracked field robots in the presence of unknown traction coefficients.
J. Field Robotics, 2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Embedded High Precision Control and Corn Stand Counting Algorithms for an Ultra-Compact 3D Printed Field Robot.
Proceedings of the Robotics: Science and Systems XIV, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Methods for Blended Shared Control of Hydraulic Excavators with Learning and Prediction.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems.
Proceedings of the 2018 Annual American Control Conference, 2018
Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties.
Proceedings of the 2018 Annual American Control Conference, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models.
IEEE Trans. Neural Networks Learn. Syst., 2017
Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators.
IEEE Trans. Autom. Control., 2017
A self-learning disturbance observer for nonlinear systems in feedback-error learning scheme.
Eng. Appl. Artif. Intell., 2017
Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems.
CoRR, 2017
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the 2017 American Control Conference, 2017
Communication efficient decentralized Gaussian Process Fusion for multi-UAS path planning.
Proceedings of the 2017 American Control Conference, 2017
2016
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
State monitoring of systems augmented by model reference adaptive control using analytic time-series forecasting.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents.
Unmanned Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Kernel controllers: A systems-theoretic approach for data-driven modeling and control of spatiotemporally evolving processes.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Exploitation by Informed Exploration between Isolated Operatives for information-theoretic data harvesting.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the American Control Conference, 2015
Exploitation of heterogeneity in distributed sensing: An active-passive networked multiagent systems approach.
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015
2014
Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations.
J. Intell. Robotic Syst., 2014
Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control.
J. Aerosp. Inf. Syst., 2014
Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes.
J. Aerosp. Inf. Syst., 2014
Exponential parameter and tracking error convergence guarantees for adaptive controllers without persistency of excitation.
Int. J. Control, 2014
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Concurrent learning adaptive control for systems with unknown sign of control effectiveness.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management.
Proceedings of the American Control Conference, 2014
2013
GPS-denied Indoor and Outdoor Monocular Vision Aided Navigation and Control of Unmanned Aircraft.
J. Field Robotics, 2013
Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors.
J. Aerosp. Inf. Syst., 2013
J. Aerosp. Inf. Syst., 2013
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning.
Found. Trends Mach. Learn., 2013
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Proceedings of the 12th European Control Conference, 2013
Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the American Control Conference, 2013
Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes.
Proceedings of the American Control Conference, 2013
2012
Reproducing Kernel Hilbert Space Approach for the Online Update of Radial Bases in Neuro-Adaptive Control.
IEEE Trans. Neural Networks Learn. Syst., 2012
Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
2011
J. Aerosp. Comput. Inf. Commun., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
2010
Concurrent learning for convergence in adaptive control without persistency of excitation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2009
J. Intell. Robotic Syst., 2009