Comparison of RBF and SHL Neural Network Based Adaptive Control. - Ryan T. Anderson; Girish Chowdhary 001; Eric N. Johnson (J. Intell. Robotic Syst., 2009)

Recursively updated least squares based modification term for adaptive control. - Girish Chowdhary 001; Eric N. Johnson (ACC, 2010)

A robust stabilization using state feedback with feedforward. - Kumeresan A. Danapalasingam; Anders la Cour-Harbo; Girish Chowdhary 001; Morten Bisgaard (ACC, 2010)

Least squares based modification for adaptive control. - Girish Chowdhary 001; Eric N. Johnson (CDC, 2010)

Concurrent learning for convergence in adaptive control without persistency of excitation. - Girish Chowdhary 001; Eric N. Johnson (CDC, 2010)

Network discovery: An estimation based approach. - Girish Chowdhary 001; Magnus Egerstedt; Eric N. Johnson (ACC, 2011)

A singular value maximizing data recording algorithm for concurrent learning. - Girish Chowdhary 001; Eric N. Johnson (ACC, 2011)

A compact exploration strategy for indoor flight vehicles. - Chintasid Pravitra; Girish Chowdhary 001; Eric N. Johnson (CDC/ECC, 2011)

Frequency Domain Method for Real-Time Detection of Oscillations. - Girish V. Chowdhary 001; Sriram Srinivasan; Eric N. Johnson (J. Aerosp. Comput. Inf. Commun., 2011)

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery. - N. Kemal Ure; Alborz Geramifard; Girish Chowdhary 001; Jonathan P. How (ECML/PKDD (2), 2012)

Reproducing Kernel Hilbert Space Approach for the Online Update of Radial Bases in Neuro-Adaptive Control. - Hassan A. Kingravi; Girish Chowdhary 001; Patricio A. Vela; Eric N. Johnson (IEEE Trans. Neural Networks Learn. Syst., 2012)

Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes. - Girish Chowdhary 001; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (ACC, 2013)

Concurrent learning adaptive control for linear switched systems. - Gerardo De La Torre; Girish Chowdhary 001; Eric N. Johnson (ACC, 2013)

Decentralized control of partially observable Markov decision processes. - Christopher Amato; Girish Chowdhary 001; Alborz Geramifard; N. Kemal Ure; Mykel J. Kochenderfer (CDC, 2013)

A Bayesian nonparametric approach to adaptive control using Gaussian Processes. - Girish Chowdhary 001; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (CDC, 2013)

A concurrent learning adaptive-optimal control architecture for nonlinear systems. - Girish Chowdhary 001; Maximilian Mühlegg; Jonathan P. How; Florian Holzapfel (CDC, 2013)

Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation. - Robert C. Grande; Girish Chowdhary 001; Jonathan P. How (CDC, 2013)

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams. - N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; Matthew A. Vavrina; John Vian (ECC, 2013)

Rapid transfer of controllers between UAVs using learning-based adaptive control. - Girish Chowdhary 001; Tongbin Wu; Mark Cutler; Jonathan P. How (ICRA, 2013)

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning. - Alborz Geramifard; Thomas J. Walsh 001; Stefanie Tellex; Girish Chowdhary 001; Nicholas Roy; Jonathan P. How (Found. Trends Mach. Learn., 2013)

Fully Autonomous Indoor Flight Relying on Only Five Very Low-Cost Range Sensors. - Girish Chowdhary 001; David Michael Sobers; Erwan Salaün; John Ottander; Eric N. Johnson (J. Aerosp. Inf. Syst., 2013)

Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors. - Allen Wu; Eric N. Johnson; Michael Kaess; Frank Dellaert; Girish Chowdhary 001 (J. Aerosp. Inf. Syst., 2013)

GPS-denied Indoor and Outdoor Monocular Vision Aided Navigation and Control of Unmanned Aircraft. - Girish Chowdhary 001; Eric N. Johnson; Daniel Magree; Allen Wu; Andy Shein (J. Field Robotics, 2013)

Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. - Yu Fan Chen; N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; John Vian (ACC, 2014)

Concurrent learning adaptive control for systems with unknown sign of control effectiveness. - Benjamin Reish; Girish Chowdhary 001 (CDC, 2014)

Human aware UAS path planning in urban environments using nonstationary MDPs. - Rakshit Allamaraju; Hassan A. Kingravi; Allan Axelrod; Girish Chowdhary 001; Robert C. Grande; Jonathan P. How; Christopher Crick; Weihua Sheng (ICRA, 2014)

Efficient distributed sensing using adaptive censoring-based inference. - Beipeng Mu; Girish Chowdhary 001; Jonathan P. How (Autom., 2014)

Exponential parameter and tracking error convergence guarantees for adaptive controllers without persistency of excitation. - Girish Chowdhary 001; Maximilian Mühlegg; Eric N. Johnson (Int. J. Control, 2014)

Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes. - Robert C. Grande; Girish Chowdhary 001; Jonathan P. How (J. Aerosp. Inf. Syst., 2014)

Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control. - Jonathan P. How; Girish Chowdhary 001; Thomas J. Walsh 001 (J. Aerosp. Inf. Syst., 2014)

Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations. - N. Kemal Ure; Girish Chowdhary 001; Yu Fan Chen; Jonathan P. How; John Vian (J. Intell. Robotic Syst., 2014)

Uninformed-to-Informed Exploration in Unstructured Real-World Environments. - Allan Axelrod; Girish Chowdhary 001 (AAAI Fall Symposia, 2015)

Trusting Learning Based Adaptive Flight Control Algorithms. - Maximilian Mühlegg; Florian Holzapfel; Girish Chowdhary 001 (AAAI Fall Symposia, 2015)

Gaussian process based subsumption of a parasitic control component. - Allan M. Axelrod; Hassan A. Kingravi; Girish V. Chowdhary 001 (ACC, 2015)

Exploitation of heterogeneity in distributed sensing: An active-passive networked multiagent systems approach. - John Daniel Peterson; Tansel Yucelen; Girish Chowdhary 001; Suresh Kannan (ACC, 2015)

Hybrid model reference adaptive control for unmatched uncertainties. - John F. Quindlen; Girish Chowdhary 001; Jonathan P. How (ACC, 2015)

Exploitation by Informed Exploration between Isolated Operatives for information-theoretic data harvesting. - Allan Axelrod; Girish Chowdhary 001; Sertac Karaman (CDC, 2015)

Kernel controllers: A systems-theoretic approach for data-driven modeling and control of spatiotemporally evolving processes. - Hassan A. Kingravi; Harshal Maske; Girish Chowdhary 001 (CDC, 2015)

Bayesian Nonparametric Adaptive Control Using Gaussian Processes. - Girish Chowdhary 001; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (IEEE Trans. Neural Networks Learn. Syst., 2015)

Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents. - N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; John Vian (Unmanned Syst., 2015)

Region-of-convergence estimation for learning-based adaptive controllers. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (ACC, 2016)

Data-driven prediction of EVAR with confidence in time-varying datasets. - Allan Axelrod; Luca Carlone; Girish Chowdhary 001; Sertac Karaman (CDC, 2016)

Intent aware shared control in off-nominal situations. - Harshal Maske; Girish Chowdhary 001; Prabhakar R. Pagilla (CDC, 2016)

State monitoring of systems augmented by model reference adaptive control using analytic time-series forecasting. - Maximilian Mühlegg; Girish Chowdhary 001; Florian Holzapfel (MED, 2016)

Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes. - Hassan A. Kingravi; Harshal R. Maske; Girish Chowdhary 001 (NIPS, 2016)

Can Co-robots Learn to Teach? - Harshal Maske; Emily Kieson; Girish Chowdhary 001; Charles Abramson (CoRR, 2016)

Communication efficient decentralized Gaussian Process Fusion for multi-UAS path planning. - Rakshit Allamraju; Girish Chowdhary 001 (ACC, 2017)

Human intention-based collision avoidance for autonomous cars. - Denis Osipychev; Duy Tran; Weihua Sheng; Girish Chowdhary 001 (ACC, 2017)

Online Gaussian Process regression with non-Gaussian likelihood. - David Seiferth; Girish Chowdhary 001; Maximilian Mühlegg; Florian Holzapfel (ACC, 2017)

Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems. - Joshua Whitman; Girish Chowdhary 001 (CoRL, 2017)

Teaching and Learning using Semantic Labels. - Sayanti Roy; Harshal Maske; Girish Chowdhary 001; Christopher Crick (HRI (Companion), 2017)

Hierarchic Kernel Recursive Least-Squares. - Hossein Mohamadipanah; Girish Chowdhary 001 (CoRR, 2017)

Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (CoRR, 2017)

Active Sampling-based Binary Verification of Dynamical Systems. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (CoRR, 2017)

Intent Communication between Autonomous Vehicles and Pedestrians. - Milecia Matthews; Girish Chowdhary 001; Emily Kieson (CoRR, 2017)

A self-learning disturbance observer for nonlinear systems in feedback-error learning scheme. - Erkan Kayacan; Joshua M. Peschel; Girish Chowdhary 001 (Eng. Appl. Artif. Intell., 2017)

Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators. - Rushikesh Kamalapurkar; Benjamin Reish; Girish Chowdhary 001; Warren E. Dixon (IEEE Trans. Autom. Control., 2017)

Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models. - Robert C. Grande; Thomas J. Walsh 001; Girish Chowdhary 001; Sarah Ferguson; Jonathan P. How (IEEE Trans. Neural Networks Learn. Syst., 2017)

Sensor Selection via Observability Analysis in Feature Space. - Harshal Maske; Hassan A. Kingravi; Girish Chowdhary 001 (ACC, 2018)

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (ACC, 2018)

Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (ACC, 2018)

Robust Deep Reinforcement Learning with Adversarial Attacks. - Anay Pattanaik; Zhenyi Tang; Shuijing Liu; Gautham Bommannan; Girish Chowdhary 001 (AAMAS, 2018)

Methods for Blended Shared Control of Hydraulic Excavators with Learning and Prediction. - Zongyao Jin; Prabhakar R. Pagilla; Harshal Maske; Girish Chowdhary 001 (CDC, 2018)

Adaptive Control using Gaussian-Process with Model Reference Generative Network. - Girish Joshi; Girish Chowdhary 001 (CDC, 2018)

Likelihood Rate Based Estimation of Nonstationary Markov Models. - Harshal Maske; Girish Chowdhary 001 (CDC, 2018)

Cross-Domain Transfer in Reinforcement Learning Using Target Apprentice. - Girish Joshi; Girish Chowdhary 001 (ICRA, 2018)

Learning Task-Based Instructional Policy for Excavator-Like Robots. - Harshal Maske; Emily Kieson; Girish Chowdhary 001; Charles Abramson (ICRA, 2018)

Multi-Agent Planning for Coordinated Robotic Weed Killing. - Wyatt McAllister; Denis Osipychev; Girish Chowdhary 001; Adam Davis (IROS, 2018)

Embedded High Precision Control and Corn Stand Counting Algorithms for an Ultra-Compact 3D Printed Field Robot. - Erkan Kayacan; Zhong-Zhong Zhang; Girish Chowdhary 001 (Robotics: Science and Systems, 2018)

Blended Shared Control with Subgoal Adjustment. - Zongyao Jin; Prabhakar R. Pagilla; Harshal Maske; Girish Chowdhary 001 (SMC, 2018)

High-precision control of tracked field robots in the presence of unknown traction coefficients. - Erkan Kayacan; Sierra N. Young; Joshua M. Peschel; Girish Chowdhary 001 (J. Field Robotics, 2018)

Data-Driven Prediction of Confidence for EVAR in Time-Varying Datasets. - Allan Axelrod; Luca Carlone; Girish Chowdhary 001; Sertac Karaman (Handbook of Dynamic Data Driven Applications Systems, 2018)

Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations. - Luca Carlone; Allan Axelrod; Sertac Karaman; Girish Chowdhary 001 (Handbook of Dynamic Data Driven Applications Systems, 2018)

Deep Model Reference Adaptive Control. - Girish Joshi; Girish Chowdhary 001 (CDC, 2019)

Hybrid Direct-Indirect Adaptive Control of Nonlinear System with Unmatched Uncertainty. - Girish Joshi; Girish Chowdhary 001 (CoDIT, 2019)

Open Loop Position Control of Soft Continuum Arm Using Deep Reinforcement Learning. - Sreeshankar Satheeshbabu; Naveen Kumar Uppalapati; Girish Chowdhary 001; Girish Krishnan (ICRA, 2019)

DeepSRGM - Sequence Classification and Ranking in Indian Classical Music Via Deep Learning. - Sathwik Tejaswi Madhusudhan; Girish Chowdhary 001 (ISMIR, 2019)

Agbots: Weeding a field with a team of autonomous robots. - Wyatt McAllister; Denis Osipychev; Adam Davis; Girish Chowdhary 001 (Comput. Electron. Agric., 2019)

Learning to Cope with Adversarial Attacks. - Xian Yeow Lee; Aaron J. Havens; Girish Chowdhary 001; Soumik Sarkar (CoRR, 2019)

Under canopy light detection and ranging-based autonomous navigation. - Vitor A. H. Higuti; Andres E. Baquero Velasquez; Daniel Varela Magalhães; Marcelo Becker; Girish Chowdhary 001 (J. Field Robotics, 2019)

Tracking Error Learning Control for Precise Mobile Robot Path Tracking in Outdoor Environment. - Erkan Kayacan; Girish Chowdhary 001 (J. Intell. Robotic Syst., 2019)

Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing. - Yaping Cai; Kaiyu Guan; Emerson Nafziger; Girish Chowdhary 001; Bin Peng; Zhenong Jin; Shaowen Wang 001; Sibo Wang 005 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Energy Shaping Control of a CyberOctopus Soft Arm. - Heng-Sheng Chang; Udit Halder; Chia-Hsien Shih; Arman Tekinalp; Tejaswin Parthasarathy; Ekaterina Gribkova; Girish Chowdhary 001; Rhanor Gillette; Mattia Gazzola; Prashant G. Mehta (CDC, 2020)

Centralized model predictive control with distributed adaptation. - Prabhat Kumar Mishra; Tixian Wang; Mattia Gazzola; Girish Chowdhary 001 (CDC, 2020)

Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. - Tianchen Ji; Sri Theja Vuppala; Girish Chowdhary 001; Katherine Rose Driggs-Campbell (CoRL, 2020)

Asynchronous Deep Model Reference Adaptive Control. - Girish Joshi; Jasvir Virdi; Girish Chowdhary 001 (CoRL, 2020)

Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning. - Neale Van Stolen; Seung Hyun Kim; Huy T. Tran; Girish Chowdhary 001 (ICRA, 2020)

Agbots 2.0: Weeding Denser Fields with Fewer Robots. - Wyatt McAllister; Joshua Whitman; Allan Axelrod; Joshua Varghese; Girish Chowdhary 001; Adam Davis (Robotics: Science and Systems, 2020)

A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control. - Naveen Kumar Uppalapati; Benjamin Walt; Aaron J. Havens; Armeen Mahdian; Girish Chowdhary 001; Girish Krishnan (Robotics: Science and Systems, 2020)

High precision control and deep learning-based corn stand counting algorithms for agricultural robot. - Zhong-Zhong Zhang; Erkan Kayacan; Benjamin Thompson; Girish Chowdhary 001 (Auton. Robots, 2020)

Agricultural robotics research applicable to poultry production: A review. - Guoqiang Ren; Tao Lin 008; Yibin Ying; Girish Chowdhary 001; K. C. Ting (Comput. Electron. Agric., 2020)

Elastica: A compliant mechanics environment for soft robotic control. - Noel M. Naughton; Jiarui Sun; Arman Tekinalp; Girish Chowdhary 001; Mattia Gazzola (CoRR, 2020)

Stochastic Deep Model Reference Adaptive Control. - Girish Joshi; Girish Chowdhary 001; Bart G. van Bloemen Waanders (CDC, 2021)

Assignment-Space-based Multi-Object Tracking and Segmentation. - Anwesa Choudhuri; Girish Chowdhary 001; Alexander G. Schwing (ICCV, 2021)

Multi-agent Aerial Monitoring of Moving Convoys using Elliptical Orbits. - Aseem Vivek Borkar; Girish Chowdhary 001 (ICRA, 2021)

3D Detection and Tracking for On-road Vehicles with a Monovision Camera and Dual Low-cost 4D mmWave Radars. - Hang Cui 003; Junzhe Wu; Jiaming Zhang; Girish Chowdhary 001; William R. Norris 001 (ITSC, 2021)

Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems. - Aaron J. Havens; Girish Chowdhary 001 (L4DC, 2021)

Learned Visual Navigation for Under-Canopy Agricultural Robots. - Arun Narenthiran Sivakumar; Sahil Modi; Mateus Valverde Gasparino; Che Ellis; Andres Eduardo Baquero Velasquez; Girish Chowdhary 001; Saurabh Gupta 001 (Robotics: Science and Systems, 2021)

Adaptive Policy Transfer in Reinforcement Learning. - Girish Joshi; Girish Chowdhary 001 (CoRR, 2021)

High Throughput Soybean Pod-Counting with In-Field Robotic Data Collection and Machine-Vision Based Data Analysis. - Michael McGuire; Chinmay Soman; Brian Diers; Girish Chowdhary 001 (CoRR, 2021)

Stochastic Deep Model Reference Adaptive Control. - Girish Joshi; Girish Chowdhary 001 (CoRR, 2021)

Elastica: A Compliant Mechanics Environment for Soft Robotic Control. - Noel M. Naughton; Jiarui Sun; Arman Tekinalp; Tejaswin Parthasarathy; Girish Chowdhary 001; Mattia Gazzola (IEEE Robotics Autom. Lett., 2021)

Task Learning, Intent Prediction, and Adaptive Blended Shared Control With Application to Excavators. - Zongyao Jin; Prabhakar R. Pagilla; Harshal Maske; Girish Chowdhary 001 (IEEE Trans. Control. Syst. Technol., 2021)

Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning. - Seung Hyun Kim; Neale Van Stralen; Girish Chowdhary 001; Huy T. Tran (AAMAS, 2022)

Dynamic Graph Node Classification via Time Augmentation. - Jiarui Sun; Mengting Gu; Chin-Chia Michael Yeh; Yujie Fan; Girish Chowdhary 001; Wei Zhang 189 (IEEE Big Data, 2022)

Last-Mile Embodied Visual Navigation. - Justin Wasserman; Karmesh Yadav; Girish Chowdhary 001; Abhinav Gupta 003; Unnat Jain (CoRL, 2022)

Minimum variance constrained estimator. - Prabhat Kumar Mishra; Girish Chowdhary 001; Prashant G. Mehta (Autom., 2022)

NDVI/NDRE prediction from standard RGB aerial imagery using deep learning. - Corey Davidson; Vishnu Jaganathan; Arun Narenthiran Sivakumar; Joby M. Prince Czarnecki; Girish Chowdhary 001 (Comput. Electron. Agric., 2022)

WayFAST: Traversability Predictive Navigation for Field Robots. - Mateus Valverde Gasparino; Arun Narenthiran Sivakumar; Yixiao Liu; Andres Eduardo Baquero Velasquez; Vitor Akihiro Hisano Higuti; John G. Rogers; Huy T. Tran; Girish Chowdhary 001 (CoRR, 2022)

Last-Mile Embodied Visual Navigation. - Justin Wasserman; Karmesh Yadav; Girish Chowdhary 001; Abhinav Gupta 001; Unnat Jain (CoRR, 2022)

Lyapunov-Based Real-Time and Iterative Adjustment of Deep Neural Networks. - Runhan Sun; Max L. Greene; Duc M. Le; Zachary I. Bell; Girish Chowdhary 001; Warren E. Dixon (IEEE Control. Syst. Lett., 2022)

Broadband Acoustic Communication Aided Underwater Inertial Navigation System. - Jae Won Choi; Aseem Vivek Borkar; Andrew C. Singer; Girish Chowdhary 001 (IEEE Robotics Autom. Lett., 2022)

WayFAST: Navigation With Predictive Traversability in the Field. - Mateus Valverde Gasparino; Arun Narenthiran Sivakumar; Yixiao Liu; Andres E. Baquero Velasquez; Vitor A. H. Higuti; John G. Rogers; Huy T. Tran; Girish Chowdhary 001 (IEEE Robotics Autom. Lett., 2022)

Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion. - Tianchen Ji; Arun Narenthiran Sivakumar; Girish Chowdhary 001; Katherine Driggs-Campbell (IEEE Robotics Autom. Lett., 2022)

Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment. - Shivani Kamtikar; Samhita Marri; Benjamin Walt; Naveen Kumar Uppalapati; Girish Krishnan; Girish Chowdhary 001 (IEEE Robotics Autom. Lett., 2022)

Agbots 3.0: Adaptive Weed Growth Prediction for Mechanical Weeding Agbots. - Wyatt McAllister; Joshua Whitman; Joshua Varghese; Adam Davis; Girish Chowdhary 001 (IEEE Trans. Robotics, 2022)

Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots. - Andres Eduardo Baquero Velasquez; Vitor Akihiro Hisano Higuti; Mateus Valverde Gasparino; Arun Narenthiran Sivakumar; Marcelo Becker; Girish Chowdhary 001 (Field Robotics, 2022)

Multimedia Generative Script Learning for Task Planning. - Qingyun Wang 005; Manling Li; Hou Pong Chan; Lifu Huang; Julia Hockenmaier; Girish Chowdhary 001; Heng Ji 001 (ACL (Findings), 2023)

Unmatched Uncertainty Mitigation Through Neural Network Supported Model Predictive Control. - Mateus Valverde Gasparino; Prabhat Kumar Mishra; Girish Chowdhary 001 (CDC, 2023)

Context-Aware Relative Object Queries to Unify Video Instance and Panoptic Segmentation. - Anwesa Choudhuri; Girish Chowdhary 001; Alexander G. Schwing (CVPR, 2023)

CropNav: a Framework for Autonomous Navigation in Real Farms. - Mateus Valverde Gasparino; Vitor A. H. Higuti; Arun Narenthiran Sivakumar; Andres E. Baquero Velasquez; Marcelo Becker; Girish Chowdhary 001 (ICRA, 2023)

ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization. - Yifan Zhao 004; Hashim Sharif; Peter Pao-Huang; Vatsin Shah; Arun Narenthiran Sivakumar; Mateus Valverde Gasparino; Abdulrahman Mahmoud; Nathan Zhao; Sarita V. Adve; Girish Chowdhary 001; Sasa Misailovic; Vikram S. Adve (MLSys, 2023)

Reinforcement Learning-Based Air Traffic Deconfliction. - Denis Osipychev; Dragos D. Margineantu; Girish Chowdhary 001 (CoRR, 2023)

Deep Model Predictive Control. - Prabhat Kumar Mishra; Mateus Valverde Gasparino; Andres E. Baquero Velasquez; Girish Chowdhary 001 (CoRR, 2023)

Towards Accurate Human Motion Prediction via Iterative Refinement. - Jiarui Sun; Girish Chowdhary 001 (CoRR, 2023)

Towards Globally Consistent Stochastic Human Motion Prediction via Motion Diffusion. - Jiarui Sun; Girish Chowdhary 001 (CoRR, 2023)

Revealing the Power of Spatial-Temporal Masked Autoencoders in Multivariate Time Series Forecasting. - Jiarui Sun; Yujie Fan; Chin-Chia Michael Yeh; Wei Zhang 189; Girish Chowdhary 001 (CoRR, 2023)

Exploitation-Guided Exploration for Semantic Embodied Navigation. - Justin Wasserman; Girish Chowdhary 001; Abhinav Gupta 003; Unnat Jain (CoRR, 2023)

Under-Canopy Navigation for an Agricultural Rover Based on Image Data. - Estêvão Serafim Calera; Gabriel Correa de Oliveira; Gabriel Lima Araujo; Jorge Id Facuri Filho; Lucas Toschi; André Carmona Hernandes; Andres Eduardo Baquero Velasquez; Mateus Valverde Gasparino; Girish Chowdhary 001; Vitor Akihiro Hisano Higuti; Marcelo Becker (J. Intell. Robotic Syst., 2023)

Distributed State Estimation With Deep Neural Networks for Uncertain Nonlinear Systems Under Event-Triggered Communication. - Federico M. Zegers; Runhan Sun; Girish Chowdhary 001; Warren E. Dixon (IEEE Trans. Autom. Control., 2023)

Revealing the Power of Masked Autoencoders in Traffic Forecasting. - Jiarui Sun; Yujie Fan; Chin-Chia Michael Yeh; Wei Zhang 189; Girish Chowdhary 001 (CIKM, 2024)

Legolas: Deep Leg-Inertial Odometry. - Justin Wasserman; Ananye Agarwal; Rishabh Jangir; Girish Chowdhary 001; Deepak Pathak; Abhinav Gupta 003 (CoRL, 2024)

CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion. - Jiarui Sun; Girish Chowdhary 001 (ECCV (63), 2024)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness. - Mateus Valverde Gasparino; Arun Narenthiran Sivakumar; Girish Chowdhary 001 (ICRA, 2024)

Exploitation-Guided Exploration for Semantic Embodied Navigation. - Justin Wasserman; Girish Chowdhary 001; Abhinav Gupta 001; Unnat Jain (ICRA, 2024)

OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning. - Anwesa Choudhuri; Girish Chowdhary 001; Alexander G. Schwing (NeurIPS, 2024)

Demonstrating CropFollow++: Robust Under-Canopy Navigation with Keypoints. - Arun Narenthiran Sivakumar; Mateus Valverde Gasparino; Michael McGuire; Vitor Akihiro Hisano Higuti; M. Ugur Akcal; Girish Chowdhary 001 (Robotics: Science and Systems, 2024)

AIFARMS: Artificial intelligence for future agricultural resilience, management, and sustainability. - Vikram S. Adve; Jessica M. Wedow; Elizabeth A. Ainsworth; Girish Chowdhary 001; Angela Green-Miller; Christina Tucker (AI Mag., 2024)

Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods. - Junchen Deng; Samhita Marri; Jonathan Klein; Wojtek Palubicki; Sören Pirk; Girish Chowdhary 001; Dominik L. Michels (CoRR, 2024)

DeepSRGM - Sequence Classification and Ranking in Indian Classical Music with Deep Learning. - Sathwik Tejaswi Madhusudhan; Girish Chowdhary 001 (CoRR, 2024)

OW-VISCap: Open-World Video Instance Segmentation and Captioning. - Anwesa Choudhuri; Girish Chowdhary 001; Alexander G. Schwing (CoRR, 2024)

Lessons from Deploying CropFollow++: Under-Canopy Agricultural Navigation with Keypoints. - Arun Narenthiran Sivakumar; Mateus Valverde Gasparino; Michael McGuire; Vitor A. H. Higuti; M. Ugur Akcal; Girish Chowdhary 001 (CoRR, 2024)

Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry. - Md. Toukir Ahmed; Md Wadud Ahmed; Ocean Monjur; Jason Lee Emmert; Girish Chowdhary 001; Mohammed Kamruzzaman (CoRR, 2024)

PlantTrack: Task-Driven Plant Keypoint Tracking with Zero-Shot Sim2Real Transfer. - Samhita Marri; Arun Narenthiran Sivakumar; Naveen Kumar Uppalapati; Girish Chowdhary 001 (CoRR, 2024)

Learning to Turn: Diffusion Imitation for Robust Row Turning in Under-Canopy Robots. - Arun Narenthiran Sivakumar; Pranay Thangeda; Yixiao Fang; Mateus Valverde Gasparino; Jose Cuaran; Melkior Ornik; Girish Chowdhary 001 (CoRR, 2024)

A Neural Network-based Framework for Fast and Smooth Posture Reconstruction of a Soft Continuum Arm. - Tixian Wang; Heng-Sheng Chang; Seung Hyun Kim; Jiamiao Guo; Ugur Akcal; Benjamin Walt; Darren Biskup; Udit Halder; Girish Krishnan; Girish Chowdhary 001; Mattia Gazzola; Prashant G. Mehta (CoRR, 2024)

AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation. - Arun Narenthiran Sivakumar; Federico Magistri; Mateus Valverde Gasparino; Jens Behley; Cyrill Stachniss; Girish Chowdhary 001 (CoRR, 2024)

MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation. - Thomas Woehrle; Arun Narenthiran Sivakumar; Naveen Kumar Uppalapati; Girish Chowdhary 001 (CoRR, 2024)

Active Semantic Mapping with Mobile Manipulator in Horticultural Environments. - Jose Cuaran; Kulbir Singh Ahluwalia; Kendall Koe; Naveen Kumar Uppalapati; Girish Chowdhary 001 (CoRR, 2024)

LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition. - Ugur Akcal; Ivan Georgiev Raikov; Ekaterina Dmitrievna Gribkova; Anwesa Choudhuri; Seung Hyun Kim; Mattia Gazzola; Rhanor Gillette; Ivan Soltesz; Girish Chowdhary 001 (Frontiers Neurorobotics, 2024)

Cognitive mapping and episodic memory emerge from simple associative learning rules. - Ekaterina Gribkova; Girish Chowdhary 001; Rhanor Gillette (Neurocomputing, 2024)

Under-canopy dataset for advancing simultaneous localization and mapping in agricultural robotics. - Jose Cuaran; Andres Eduardo Baquero Velasquez; Mateus Valverde Gasparino; Naveen Kumar Uppalapati; Arun Narenthiran Sivakumar; Justin Wasserman; Muhammad Huzaifa; Sarita V. Adve; Girish Chowdhary 001 (Int. J. Robotics Res., 2024)

W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics. - Andre Schreiber; Arun Narenthiran Sivakumar; Peter Du; Mateus Valverde Gasparino; Girish Chowdhary 001; Katherine Rose Driggs-Campbell (IEEE Robotics Autom. Lett., 2024)

Mobile robotics platform for strawberry sensing and harvesting within precision indoor farming systems. - Guoqiang Ren; Tianhao Wu; Tao Lin 008; Liangjing Yang; Girish Chowdhary 001; K. C. Ting; Yibin Ying (J. Field Robotics, 2024)

Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning for Autonomous Visual Robot Navigation. - Shreya Gummadi; Mateus Valverde Gasparino; Deepak Vasisht; Girish Chowdhary 001 (IEEE Robotics Autom. Lett., 2024)

MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning. - Jiarui Sun; M. Ugur Akcal; Girish Chowdhary 001; Wei Zhang 189 (WACV, 2025)

Precision Harvesting in Cluttered Environments: Integrating End Effector Design with Dual Camera Perception. - Kendall Koe; Poojan Kalpeshbhai Shah; Benjamin Walt; Jordan Westphal; Samhita Marri; Shivani Kamtikar; James Seungbum Nam; Naveen Kumar Uppalapati; Girish Krishnan; Girish Chowdhary 001 (CoRR, 2025)

Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges. - Shaik Althaf Veluthedath Shajihan; Kirill Mechitov; Girish Chowdhary 001; Billie F. Spencer Jr. (CoRR, 2025)

BYON: Bring Your Own Networks for Digital Agriculture Applications. - Emerson Sie; Bill Tao; Aganze Mihigo; Parithimaal Karmehan; Max Zhang; Arun N. Sivakumar; Girish Chowdhary 001; Deepak Vasisht (CoRR, 2025)

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. - Jiarui Sun; Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Xiran Fan; Zhimeng Jiang; Uday Singh Saini; Vivian Lai; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Yan Zheng 001; et al. (CoRR, 2025)

CROW: A Self-Supervised Crop Row Navigation Algorithm for Agricultural Fields. - Francisco Affonso Pinto; Felipe Andrade G. Tommaselli; Gianluca Capezzuto; Mateus Valverde Gasparino; Girish Chowdhary 001; Marcelo Becker (J. Intell. Robotic Syst., 2025)

Simulations and experiments with assemblies of fiber-reinforced soft actuators. - Seung Hyun Kim; Jiamiao Guo; Arman Tekinalp; Heng-Sheng Chang; Ugur Akcal; Tixian Wang; Darren Biskup; Benjamin Walt; Girish Chowdhary 001; Girish Krishnan; Prashant G. Mehta; Mattia Gazzola (CoRR, 2025)

Deep Model Predictive Control With Stability Guarantees. - Prabhat Kumar Mishra; Mateus Valverde Gasparino; Girish Chowdhary 001 (IEEE Trans. Autom. Control., 2025)