Group Coordination when the Reference Velocity is Available Only to the Leader: An Adaptive Design. - He Bai 001; Murat Arcak; John T. Wen (ACC, 2007)

A decentralized design for group alignment and synchronous rotation without inertial frame information. - He Bai 001; Murat Arcak; John T. Wen (CDC, 2007)

Using orientation agreement to achieve planar rigid formation. - He Bai 001; Murat Arcak; John T. Wen (ACC, 2008)

Adaptive motion coordination: Using velocity feedback to achieve parameter convergence. - He Bai 001; Murat Arcak; John T. Wen (ACC, 2008)

Rigid body attitude coordination without inertial frame information. - He Bai 001; Murat Arcak; John T. Wen (Autom., 2008)

Adaptive design for reference velocity recovery in motion coordination. - He Bai 001; Murat Arcak; John T. Wen (Syst. Control. Lett., 2008)

Motion coordination through cooperative payload transport. - He Bai 001; John T. Wen (ACC, 2009)

Experimental verification of formation control with distributed cameras. - He Bai 001; Karen D. Chapin; John D. Wason; John T. Wen (CDC, 2009)

Adaptive motion coordination: Using relative velocity feedback to track a reference velocity. - He Bai 001; Murat Arcak; John T. Wen (Autom., 2009)

The undesired equilibria of formation control with ring graphs. - He Bai 001 (ACC, 2010)

Parallel-channel flow instabilities and active control schemes in two-phase microchannel heat exchanger systems. - Tiejun Zhang; John T. Wen; Agung Julius; He Bai 001; Yoav Peles; Michael K. Jensen (ACC, 2010)

Robust dynamic average consensus of time-varying inputs. - He Bai 001; Randy A. Freeman; Kevin M. Lynch (CDC, 2010)

Instability Mechanisms in Cooperative Control. - He Bai 001; Murat Arcak (IEEE Trans. Autom. Control., 2010)

Cooperative Load Transport: A Formation-Control Perspective. - He Bai 001; John T. Wen (IEEE Trans. Robotics, 2010)

Cooperative Control Design - A Systematic, Passivity-Based Approach. - He Bai 001; Murat Arcak; John T. Wen (Springer, 2011)

DIstributed Kalman Filtering Using The Internal Model Average Consensus Estimator. - He Bai 001; Randy A. Freeman; Kevin M. Lynch (ACC, 2011)

Output Synchronization of Nonlinear Systems under Input Disturbances. - He Bai 001; Sayed Yusef Shafi (CoRR, 2013)

Homogenization in reaction-diffusion PDEs under space and time-dependent heterogeneities. - Sayed Yusef Shafi; He Bai 001 (CDC, 2014)

Uncertainty estimation for random sample consensus. - Huili Yu; Shalini Keshavamurthy; He Bai 001; Sameer Sheorey; Hieu T. Nguyen; Clark N. Taylor (ICARCV, 2014)

Intelligent Cooperative Control for Urban Tracking. - Kevin Cook; Everett Bryan; Huili Yu; He Bai 001; Kevin D. Seppi; Randal W. Beard (J. Intell. Robotic Syst., 2014)

Improving cooperative tracking of an urban target with target motion model learning. - He Bai 001; Kevin Cook; Huili Yu; Kyle Ingersoll; Randy W. Beard; Kevin D. Seppi; Sharath Avadhanam (CDC, 2015)

GPS-denied relative motion estimation for fixed-wing UAV using the variational pose estimator. - Maziar Izadi; Amit K. Sanyal; Randy W. Beard; He Bai 001 (CDC, 2015)

Synchronization under space and time-dependent heterogeneities. - Sayed Yusef Shafi; He Bai 001 (Autom., 2015)

Relative heading estimation for target handoff in GPS-denied environments. - He Bai 001; Randal W. Beard (ACC, 2016)

A two-time-scale dynamic average consensus estimator. - He Bai 001 (CDC, 2016)

Two-time-scale adaptive internal model designs for motion coordination. - He Bai 001 (Autom., 2016)

Relative heading estimation under constant disturbances. - Asad N. Awan; He Bai 001 (ACC, 2017)

Orbiting intruder passive ranging for small UAS Detect-and-Avoid. - Jordan Daugherty; He Bai 001; Sharath Avadhanam (CCTA, 2017)

Observability properties of relative position and heading estimation with bearing-only measurements. - He Bai 001; Asad N. Awan (CDC, 2017)

An output feedback approach to robust dynamic average consensus. - Jemin George; He Bai 001 (CDC, 2017)

Motion-dependent estimation of a spatial vector field with multiple vehicles. - He Bai 001 (CDC, 2018)

On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (CDC, 2018)

Observability driven path planning for relative navigation of unmanned aerial systems. - He Bai 001; Clark N. Taylor (PLANS, 2018)

Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks. - Sayak Mukherjee; Aranya Chakrabortty; He Bai 001 (ACC, 2019)

Cooperative Aerial Load Transport with Attitude Stabilization. - Sandesh Thapa; He Bai 001; José Ángel Acosta (ACC, 2019)

Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. - Jemin George; Tao Yang 003; He Bai 001; Prudhvi Gurram (CDC, 2019)

Wind Estimation Using Quadcopter Motion: A Machine Learning Approach. - Sam Allison; He Bai 001; Balaji Jayaraman (CoRR, 2019)

Multi-Agent Coordination for Distributed Transmit Beamforming. - Jemin George; Anjaly Parayil; He Bai 001 (CoRR, 2019)

Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation. - Sandesh Thapa; Ryan V. Self; Rushikesh Kamalapurkar; He Bai 001 (IEEE Control. Syst. Lett., 2019)

Control-enabled Observability and Sensitivity Functions in Visual-Inertial Odometry. - He Bai 001; Clark N. Taylor (J. Intell. Robotic Syst., 2019)

Asymptotic Synchronization of Phase Oscillators With a Single Input. - He Bai 001; John T. Wen (IEEE Trans. Autom. Control., 2019)

Relative Heading Estimation and Its Application in Target Handoff in GPS-Denied Environments. - He Bai 001; Randal W. Beard (IEEE Trans. Control. Syst. Technol., 2019)

A Human-Vehicle Collaborative Driving Framework for Driver Assistance. - Duy Tran; Jianhao Du; Weihua Sheng; Denis Osipychev; Yuge Sun; He Bai 001 (IEEE Trans. Intell. Transp. Syst., 2019)

Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning. - He Bai 001; Jemin George; Aranya Chakrabortty (ACC, 2020)

Invariant-EKF Design for a Unicycle Robot under Linear Disturbances. - Kevin Coleman; He Bai 001; Clark N. Taylor (ACC, 2020)

Multi-Agent Coordination for Distributed Transmit Beamforming. - Jemin George; Anjaly Parayil; Cemal Tugrul Yilmaz; Bethany L. Allik; He Bai 001; Aranya Chakrabortty (ACC, 2020)

On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (ACC, 2020)

Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (CCTA, 2020)

A Variational Bayesian Approach for Estimating System Parameters and Process Noise. - He Bai 001; Clark N. Taylor (FUSION, 2020)

Decentralized Langevin Dynamics for Bayesian Learning. - Anjaly Parayil; He Bai 001; Jemin George; Prudhvi Gurram (NeurIPS, 2020)

A Decentralized Approach to Bayesian Learning. - Anjaly Parayil; He Bai 001; Jemin George; Prudhvi Gurram (CoRR, 2020)

Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (CoRR, 2020)

Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (CoRR, 2020)

Model-Free Reinforcement Learning of Minimal-Cost Variance Control. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (IEEE Control. Syst. Lett., 2020)

Cooperative Aerial Manipulation with Decentralized Adaptive Force-Consensus Control. - Sandesh Thapa; He Bai 001; José Ángel Acosta (J. Intell. Robotic Syst., 2020)

Future Uncertainty-Based Control for Relative Navigation in GPS-Denied Environments. - He Bai 001; Clark N. Taylor (IEEE Trans. Aerosp. Electron. Syst., 2020)

Decomposability and Parallel Computation of Multi-Agent LQR. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (ACC, 2021)

Distributed Bayesian Parameter Inference for Physics-Informed Neural Networks. - He Bai 001; Kinjal Bhar; Jemin George; Carl E. Busart (CDC, 2021)

Extended invariant-EKF designs for state and additive disturbance estimation. - Kevin Coleman; He Bai 001; Clark N. Taylor (Autom., 2021)

Reduced-dimensional reinforcement learning control using singular perturbation approximations. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (Autom., 2021)

Dynamic Control Allocation between Onboard and Delayed Remote Control for Unmanned Aircraft System Detect-and-Avoid. - Asma Tabassum; He Bai 001 (CoRR, 2021)

Variance Reduction of Quadcopter Trajectory Tracking under Stochastic Wind Disturbances. - Asma Tabassum; Rohit K. S. S. Vuppala; He Bai 001; Kursat Kara (CoRR, 2021)

Online Observer-Based Inverse Reinforcement Learning. - Ryan Self; Kevin Coleman; He Bai 001; Rushikesh Kamalapurkar (IEEE Control. Syst. Lett., 2021)

Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (Syst. Control. Lett., 2021)

Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (IEEE Trans. Control. Netw. Syst., 2021)

Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control. - Sayak Mukherjee; Aranya Chakrabortty; He Bai 001; Atena Darvishi; Bruce Fardanesh (IEEE Trans. Smart Grid, 2021)

Invariant-EKF design for quadcopter wind estimation. - Hao Chen; He Bai 001; Clark N. Taylor (ACC, 2022)

Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (ACC, 2022)

Asynchronous Bayesian Learning over a Network. - Kinjal Bhar; He Bai 001; Jemin George; Carl E. Busart (CDC, 2022)

Development of a Research Testbed for Cooperative Driving in Mixed Traffic of Human-driven and Autonomous Vehicles. - Jiaxing Lu; Ryan Stracener; Weihua Sheng; He Bai 001; Sanzida Hossain (IROS, 2022)

A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (CoRR, 2022)

Learning Distributed Stabilizing Controllers for Multi-Agent Systems. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (IEEE Control. Syst. Lett., 2022)

Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization. - Jishnudeep Kar; He Bai 001; Aranya Chakrabortty (ACC, 2023)

Parameterized input inference for approximate stochastic optimal control. - Shahbaz P. Qadri Syed; He Bai 001 (ACC, 2023)

Dynamic covariance prediction using variational Wishart processes with uncertain inputs. - Nahid Uzzaman; He Bai 001 (ACC, 2023)

Data-Driven Koopman-based Modeling and Control of Quadcopter in a Turbulent Wind Field. - Asma Tabassum; He Bai 001 (CCTA, 2023)

Cooperative Driving between Autonomous Vehicles and Human-driven Vehicles Considering Stochastic Human Input and System Delay. - Sanzida Hossain; Jiaxing Lu; He Bai 001; Weihua Sheng (ECC, 2023)

A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations. - Asma Tabassum; He Bai 001; Nicoletta Fala (HCI (48), 2023)

Cooperative Driving in Mixed Traffic of Manned and Unmanned Vehicles based on Human Driving Behavior Understanding. - Jiaxing Lu; Sanzida Hossain; Weihua Sheng; He Bai 001 (ICRA, 2023)

Incorporating Stochastic Human Driving States in Cooperative Driving Between a Human-Driven Vehicle and an Autonomous Vehicle. - Sanzida Hossain; Jiaxing Lu; He Bai 001; Weihua Sheng (IROS, 2023)

Reinforcement Learning-based Control of Nonlinear Systems using Carleman Approximation: Structured and Unstructured Designs. - Jishnudeep Kar; He Bai 001; Aranya Chakrabortty (CoRR, 2023)

Asynchronous Local Computations in Distributed Bayesian Learning. - Kinjal Bhar; He Bai 001; Jemin George; Carl E. Busart (CoRR, 2023)

Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning. - Kinjal Bhar; He Bai 001; Jemin George; Carl E. Busart (Autom., 2023)

Human-Robot Collaborative Lifting Motion Prediction and Experimental Validation. - Asif Arefeen; Joel Quarnstrom; Shahbaz P. Qadri Syed; He Bai 001; Yujiang Xiang (J. Intell. Robotic Syst., 2023)

A novel variational Bayesian adaptive Kalman filter for systems with unknown state-dependent noise covariance matrices. - Nahid Uzzaman; He Bai 001 (ACC, 2024)

An LSTM-based Model to Recognize Driving Style and Predict Acceleration. - Jiaxing Lu; Sanzida Hossain; Weihua Sheng; He Bai 001 (IROS, 2024)

Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach. - Haoyang Wang; He Bai 001; Xiaoli Zhang; Yunsik Jung; Michel Bowman; Lingfeng Tao (IROS, 2024)

Impact of Tactile Sensor Quantities and Placements on Learning-based Dexterous Manipulation. - Haoran Guo; Haoyang Wang; Zhengxiong Li; He Bai 001; Lingfeng Tao (CoRR, 2024)

A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic. - Jiaxing Lu; Sanzida Hossain; Wakun Lam; Weihua Sheng; He Bai 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (IEEE Trans. Autom. Control., 2024)

Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (IEEE Trans. Autom. Control., 2024)

Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning. - Kinjal Bhar; He Bai 001; Jemin George; Carl E. Busart (L4DC, 2025)

Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR. - Shahbaz P. Qadri Syed; He Bai 001 (L4DC, 2025)

Multi-robot cooperative navigation with active sensing in a GPS-denied environment. - Shahbaz P. Qadri Syed; He Bai 001 (PLANS, 2025)

Approximate constrained stochastic optimal control via parameterized input inference. - Shahbaz P. Qadri Syed; He Bai 001 (Autom., 2025)

Cooperative pointing control of multi-robot systems via distributed target estimation. - Fan Zhang; Cui-Li Jin; Weiguo Xia; Xi-Ming Sun; He Bai 001 (Syst. Control. Lett., 2025)