Girish Chowdhary

According to our database1, Girish Chowdhary authored at least 88 papers between 2005 and 2019.

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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 ranging-based autonomous navigation.
J. Field Robotics, 2019

Deep Model Reference Adaptive Control.
CoRR, 2019

Learning to Cope with Adversarial Attacks.
CoRR, 2019

Hybrid Direct-Indirect 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 Direct-Indirect Adaptive Control of Nonlinear System with Unmatched Uncertainty.
Proceedings of the 6th International Conference on 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

Cross-Domain 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 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 Netw. Learning Syst., 2017

Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators.
IEEE Trans. Automat. Contr., 2017

A self-learning disturbance observer for nonlinear systems in feedback-error learning scheme.
Eng. Appl. of AI, 2017

Robust Deep Reinforcement Learning with Adversarial Attacks.
CoRR, 2017

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties.
CoRR, 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
Bayesian Nonparametric Adaptive Control Using Gaussian Processes.
IEEE Trans. Neural Netw. Learning Syst., 2015

Kernel Controllers: A Systems-Theoretic Approach for Data-Driven Modeling and Control of Spatiotemporally Evolving Processes.
CoRR, 2015

Concurrent learning for parameter estimation using dynamic state-derivative estimators.
CoRR, 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.
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 censoring-based inference.
Automatica, 2014

Tree-based 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 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. Aerospace Inf. Sys., 2013

Fully Autonomous Indoor Flight Relying on Only Five Very Low-Cost 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 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 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

Efficient distributed sensing using adaptive censoring based inference.
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 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 Real-Time 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 neuro-adaptive 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 sub-wavelength multicast sessions in WDM mesh networks.
J. High Speed Networks, 2006

2005
Grooming of multicast sessions in metropolitan WDM ring networks.
Computer Networks, 2005


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