Girish Chowdhary

Orcid: 0000-0002-4657-307X

Affiliations:
  • 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 132 papers between 2009 and 2024.

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Bibliography

2024
DeepSRGM - Sequence Classification and Ranking in Indian Classical Music with Deep Learning.
CoRR, 2024

Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods.
CoRR, 2024

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness.
CoRR, 2024

2023
Distributed State Estimation With Deep Neural Networks for Uncertain Nonlinear Systems Under Event-Triggered Communication.
IEEE Trans. Autom. Control., May, 2023

Under-Canopy Navigation for an Agricultural Rover Based on Image Data.
J. Intell. Robotic Syst., 2023

Exploitation-Guided Exploration for Semantic Embodied Navigation.
CoRR, 2023

Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting.
CoRR, 2023

Towards Globally Consistent Stochastic Human Motion Prediction via Motion Diffusion.
CoRR, 2023

Towards Accurate Human Motion Prediction via Iterative Refinement.
CoRR, 2023

Deep Model Predictive Control.
CoRR, 2023

Reinforcement Learning-Based Air Traffic Deconfliction.
CoRR, 2023

CropNav: a Framework for Autonomous Navigation in Real Farms.
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

Multimedia Generative Script Learning for Task Planning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots.
Field Robotics, March, 2022

Agbots 3.0: Adaptive Weed Growth Prediction for Mechanical Weeding Agbots.
IEEE Trans. Robotics, 2022

Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment.
IEEE Robotics Autom. Lett., 2022

Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion.
IEEE Robotics Autom. Lett., 2022

WayFAST: Navigation With Predictive Traversability in the Field.
IEEE Robotics Autom. Lett., 2022

Broadband Acoustic Communication Aided Underwater Inertial Navigation System.
IEEE Robotics Autom. Lett., 2022

Lyapunov-Based Real-Time and Iterative Adjustment of Deep Neural Networks.
IEEE Control. Syst. Lett., 2022

Last-Mile Embodied Visual Navigation.
CoRR, 2022

WayFAST: Traversability Predictive Navigation for Field Robots.
CoRR, 2022

NDVI/NDRE prediction from standard RGB aerial imagery using deep learning.
Comput. Electron. Agric., 2022

Minimum variance constrained estimator.
Autom., 2022

Last-Mile Embodied Visual Navigation.
Proceedings of the Conference on Robot Learning, 2022

Dynamic Graph Node Classification via Time Augmentation.
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

Elastica: A Compliant Mechanics Environment for Soft Robotic Control.
IEEE Robotics Autom. Lett., 2021

Stochastic Deep Model Reference Adaptive Control.
CoRR, 2021

High Throughput Soybean Pod-Counting with In-Field Robotic Data Collection and Machine-Vision Based Data Analysis.
CoRR, 2021

Adaptive Policy Transfer in Reinforcement Learning.
CoRR, 2021

Learned Visual Navigation for Under-Canopy Agricultural Robots.
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

Multi-agent Aerial Monitoring of Moving Convoys using Elliptical Orbits.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Assignment-Space-based Multi-Object Tracking and Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Stochastic Deep Model Reference Adaptive Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Elastica: A compliant mechanics environment for soft robotic control.
CoRR, 2020

Agricultural robotics research applicable to poultry production: A review.
Comput. Electron. Agric., 2020

High precision control and deep learning-based corn stand counting algorithms for agricultural robot.
Auton. Robots, 2020

A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control.
Proceedings of the Robotics: Science and Systems XVI, 2020

Agbots 2.0: Weeding Denser Fields with Fewer Robots.
Proceedings of the Robotics: Science and Systems XVI, 2020

Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Asynchronous Deep Model Reference Adaptive Control.
Proceedings of the 4th Conference on Robot Learning, 2020

Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments.
Proceedings of the 4th Conference on Robot Learning, 2020

Centralized model predictive control with distributed adaptation.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Energy Shaping Control of a CyberOctopus Soft Arm.
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

Under canopy light detection and ranging-based autonomous navigation.
J. Field Robotics, 2019

Learning to Cope with Adversarial Attacks.
CoRR, 2019

<i>Agbots</i>: Weeding a field with a team of autonomous robots.
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

Open Loop Position Control of Soft Continuum Arm Using Deep Reinforcement Learning.
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

Deep Model Reference Adaptive Control.
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

Data-Driven Prediction of Confidence for EVAR in Time-Varying Datasets.
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

Blended Shared Control with Subgoal Adjustment.
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

Multi-Agent Planning for Coordinated Robotic Weed Killing.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Task-Based Instructional Policy for Excavator-Like Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Cross-Domain Transfer in Reinforcement Learning Using Target Apprentice.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Likelihood Rate Based Estimation of Nonstationary Markov Models.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Adaptive Control using Gaussian-Process with Model Reference Generative Network.
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

Robust Deep Reinforcement Learning with Adversarial Attacks.
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

Sensor Selection via Observability Analysis in Feature Space.
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

Intent Communication between Autonomous Vehicles and Pedestrians.
CoRR, 2017

Active Sampling-based Binary Verification of Dynamical Systems.
CoRR, 2017

Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems.
CoRR, 2017

Hierarchic Kernel Recursive Least-Squares.
CoRR, 2017

Teaching and Learning using Semantic Labels.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Online Gaussian Process regression with non-Gaussian likelihood.
Proceedings of the 2017 American Control Conference, 2017

Human intention-based collision avoidance for autonomous cars.
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
Can Co-robots Learn to Teach?
CoRR, 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

Intent aware shared control in off-nominal situations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Data-driven prediction of EVAR with confidence in time-varying datasets.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Region-of-convergence estimation for learning-based adaptive controllers.
Proceedings of the 2016 American Control Conference, 2016

2015
Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents.
Unmanned Syst., 2015

Bayesian Nonparametric Adaptive Control Using Gaussian Processes.
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

Hybrid model reference adaptive control for unmatched uncertainties.
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

Gaussian process based subsumption of a parasitic control component.
Proceedings of the American Control Conference, 2015

Trusting Learning Based Adaptive Flight Control Algorithms.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Uninformed-to-Informed Exploration in Unstructured Real-World Environments.
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

Efficient distributed sensing using adaptive censoring-based inference.
Autom., 2014

Human aware UAS path planning in urban environments using nonstationary MDPs.
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

Fully Autonomous Indoor Flight Relying on Only Five Very Low-Cost Range Sensors.
J. Aerosp. Inf. Syst., 2013

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning.
Found. Trends Mach. Learn., 2013

Rapid transfer of controllers between UAVs using learning-based adaptive control.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams.
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

A concurrent learning adaptive-optimal control architecture for nonlinear systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A Bayesian nonparametric approach to adaptive control using Gaussian Processes.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Decentralized control of partially observable Markov decision processes.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Concurrent learning adaptive control for linear switched systems.
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
Frequency Domain Method for Real-Time Detection of Oscillations.
J. Aerosp. Comput. Inf. Commun., 2011

A compact exploration strategy for indoor flight vehicles.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A singular value maximizing data recording algorithm for concurrent learning.
Proceedings of the American Control Conference, 2011

Network discovery: An estimation based approach.
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

Least squares based modification for adaptive control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

A robust stabilization using state feedback with feedforward.
Proceedings of the American Control Conference, 2010

Recursively updated least squares based modification term for adaptive control.
Proceedings of the American Control Conference, 2010

2009
Comparison of RBF and SHL Neural Network Based Adaptive Control.
J. Intell. Robotic Syst., 2009


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