Girish Chowdhary
According to our database^{1},
Girish Chowdhary
authored at least 88 papers
between 2005 and 2019.
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Bibliography
2019
Tracking Error Learning Control for Precise Mobile Robot Path Tracking in Outdoor Environment.
Journal of Intelligent and Robotic Systems, 2019
Under canopy light detection and rangingbased autonomous navigation.
J. Field Robotics, 2019
Deep Model Reference Adaptive Control.
CoRR, 2019
Learning to Cope with Adversarial Attacks.
CoRR, 2019
Hybrid DirectIndirect Adaptive Control of Nonlinear System with Unmatched Uncertainty.
CoRR, 2019
Agbots: Weeding a field with a team of autonomous robots.
Computers and Electronics in Agriculture, 2019
Open Loop Position Control of Soft Continuum Arm Using Deep Reinforcement Learning.
Proceedings of the International Conference on Robotics and Automation, 2019
Hybrid DirectIndirect Adaptive Control of Nonlinear System with Unmatched Uncertainty.
Proceedings of the 6th International Conference on Control, 2019
2018
Aided Optimal Search: DataDriven Target Pursuit from OnDemand Delayed Binary Observations.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
DataDriven Prediction of Confidence for EVAR in TimeVarying Datasets.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
Highprecision control of tracked field robots in the presence of unknown traction coefficients.
J. Field Robotics, 2018
CrossDomain Transfer in Reinforcement Learning using Target Apprentice.
CoRR, 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 UltraCompact 3D Printed Field Robot.
Proceedings of the Robotics: Science and Systems XIV, 2018
MultiAgent Planning for Coordinated Robotic Weed Killing.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Learning TaskBased Instructional Policy for ExcavatorLike Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
CrossDomain 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 GaussianProcess 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 ClosedLoop Statistical Verification of Uncertain Nonlinear Systems.
Proceedings of the 2018 Annual American Control Conference, 2018
ClosedLoop 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 Netw. Learning Syst., 2017
Concurrent Learning for Parameter Estimation Using Dynamic StateDerivative Estimators.
IEEE Trans. Automat. Contr., 2017
A selflearning disturbance observer for nonlinear systems in feedbackerror learning scheme.
Eng. Appl. of AI, 2017
Robust Deep Reinforcement Learning with Adversarial Attacks.
CoRR, 2017
ClosedLoop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties.
CoRR, 2017
Intent Communication between Autonomous Vehicles and Pedestrians.
CoRR, 2017
Active Samplingbased Binary Verification of Dynamical Systems.
CoRR, 2017
Active Sampling for Constrained Simulationbased Verification of Uncertain Nonlinear Systems.
CoRR, 2017
Hierarchic Kernel Recursive LeastSquares.
CoRR, 2017
Teaching and Learning using Semantic Labels.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on HumanRobot Interaction, 2017
Learning Dynamics Across Similar SpatiotemporallyEvolving Physical Systems.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017
Online Gaussian Process regression with nonGaussian likelihood.
Proceedings of the 2017 American Control Conference, 2017
Human intentionbased collision avoidance for autonomous cars.
Proceedings of the 2017 American Control Conference, 2017
Communication efficient decentralized Gaussian Process Fusion for multiUAS path planning.
Proceedings of the 2017 American Control Conference, 2017
2016
Can Corobots Learn to Teach?
CoRR, 2016
Kernel Observers: SystemsTheoretic 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 timeseries forecasting.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
Intent aware shared control in offnominal situations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Datadriven prediction of EVAR with confidence in timevarying datasets.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Regionofconvergence estimation for learningbased adaptive controllers.
Proceedings of the 2016 American Control Conference, 2016
2015
Bayesian Nonparametric Adaptive Control Using Gaussian Processes.
IEEE Trans. Neural Netw. Learning Syst., 2015
Kernel Controllers: A SystemsTheoretic Approach for DataDriven Modeling and Control of Spatiotemporally Evolving Processes.
CoRR, 2015
Concurrent learning for parameter estimation using dynamic statederivative estimators.
CoRR, 2015
Kernel controllers: A systemstheoretic approach for datadriven 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 informationtheoretic 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 activepassive 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 1214, 2015, 2015
UninformedtoInformed Exploration in Unstructured RealWorld Environments.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 1214, 2015, 2015
2014
Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams  Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations.
Journal of Intelligent and Robotic Systems, 2014
Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control.
J. Aerospace Inf. Sys., 2014
Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes.
J. Aerospace Inf. Sys., 2014
Exponential parameter and tracking error convergence guarantees for adaptive controllers without persistency of excitation.
Int. J. Control, 2014
Efficient distributed sensing using adaptive censoringbased inference.
Automatica, 2014
Treebased batching and serialization of overlapping bursts to reduce losses in OBS networks.
Proceedings of the 2014 International Conference and Workshop on the Network of the Future, 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 largescale multiagent problems via hierarchical decomposition with applications to UAV health management.
Proceedings of the American Control Conference, 2014
2013
GPSdenied Indoor and Outdoor Monocular Vision Aided Navigation and Control of Unmanned Aircraft.
J. Field Robotics, 2013
Autonomous Flight in GPSDenied Environments Using Monocular Vision and Inertial Sensors.
J. Aerospace Inf. Sys., 2013
Fully Autonomous Indoor Flight Relying on Only Five Very LowCost Range Sensors.
J. Aerospace Inf. Sys., 2013
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning.
Foundations and Trends in Machine Learning, 2013
Rapid transfer of controllers between UAVs using learningbased 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 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 adaptiveoptimal 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
Efficient distributed sensing using adaptive censoring based inference.
Proceedings of the American Control Conference, 2013
Bayesian nonparametric adaptive control of timevarying 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 NeuroAdaptive Control.
IEEE Trans. Neural Netw. Learning 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 RealTime Detection of Oscillations.
JACIC, 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 reproducing Kernel Hilbert Space approach for the online update of Radial Bases in neuroadaptive control.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Analysis of Effect of Different Factors on Burst Dropping Probability in Optical Burst Switching Network.
Proceedings of the Future Generation Information Technology, 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
2009
Comparison of RBF and SHL Neural Network Based Adaptive Control.
Journal of Intelligent and Robotic Systems, 2009
2006
A cost effective approach for survivable multicast traffic grooming in bidirectional multiwavelength ring networks.
Optical Switching and Networking, 2006
Efficient routing of subwavelength multicast sessions in WDM mesh networks.
J. High Speed Networks, 2006
2005
Grooming of multicast sessions in metropolitan WDM ring networks.
Computer Networks, 2005