He Bai - RankMe

115 papers A* 2A 4C 25Journal 58Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Estimation and Fusion for Multi-Quadcopter Wind Field Estimation. IEEE Trans. Control. Syst. Technol. Hao Chen, He Bai
2026	J	`jnl`	Model-Based Invariant Filters for Quadcopter Wind Estimation. IEEE Trans. Aerosp. Electron. Syst. Hao Chen, He Bai
2025	J	`jnl`	A Multi-Vehicle, Multi-Lane Cooperative Driving Framework in Mixed Traffic With Driving Advisory. IEEE Trans. Veh. Technol. Sanzida Hossain, Jiaxing Lu, He Bai, Weihua Sheng
2025	J	`jnl`	Approximate constrained stochastic optimal control via parameterized input inference. Autom. Shahbaz P. Qadri Syed, He Bai
2025	J	`jnl`	Approximate constrained stochastic optimal control via parameterized input inference. CoRR Shahbaz P. Qadri Syed, He Bai
2025	J	`jnl`	Cooperative pointing control of multi-robot systems via distributed target estimation. Syst. Control. Lett. Fan Zhang, Cui-Li Jin, Weiguo Xia, Xi-Ming Sun, He Bai
2025	—	`conf`	Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR. L4DC Shahbaz P. Qadri Syed, He Bai
2025	J	`jnl`	Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR. CoRR Shahbaz P. Qadri Syed, He Bai
2025	—	`conf`	Multi-robot cooperative navigation with active sensing in a GPS-denied environment. PLANS Shahbaz P. Qadri Syed, He Bai
2025	—	`conf`	Nonlinear Mode and Koopman Participation Factor Analysis for Inverter Dominated Power Systems. CDC Jishnudeep Kar, Aranya Chakrabortty, He Bai
2025	—	`conf`	Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning. L4DC Kinjal Bhar, He Bai, Jemin George, Carl E. Busart
2025	J	`jnl`	Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective. CoRR Shahbaz P. Qadri Syed, He Bai
2024	J	`jnl`	A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. Jiaxing Lu, Sanzida Hossain, Wakun Lam, Weihua Sheng, He Bai
2024	C	`conf`	A novel variational Bayesian adaptive Kalman filter for systems with unknown state-dependent noise covariance matrices. ACC Nahid Uzzaman, He Bai
2024	A	`conf`	An LSTM-based Model to Recognize Driving Style and Predict Acceleration. IROS Jiaxing Lu, Sanzida Hossain, Weihua Sheng, He Bai
2024	J	`jnl`	Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. IEEE Trans. Autom. Control. Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
2024	J	`jnl`	Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions. IEEE Trans. Autom. Control. Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
2024	J	`jnl`	Impact of Tactile Sensor Quantities and Placements on Learning-based Dexterous Manipulation. CoRR Haoran Guo, Haoyang Wang, Zhengxiong Li, He Bai, Lingfeng Tao
2024	A	`conf`	Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach. IROS Haoyang Wang, He Bai, Xiaoli Zhang, Yunsik Jung, Michel Bowman, Lingfeng Tao
2024	J	`jnl`	Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach. CoRR Haoyang Wang, He Bai, Xiaoli Zhang, Yunsik Jung, Michel Bowman, Lingfeng Tao
2023	—	`conf`	A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations. HCI (48) Asma Tabassum, He Bai, Nicoletta Fala
2023	J	`jnl`	A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations. CoRR Asma Tabassum, He Bai, Nicoletta Fala
2023	J	`jnl`	Asynchronous Local Computations in Distributed Bayesian Learning. CoRR Kinjal Bhar, He Bai, Jemin George, Carl E. Busart
2023	—	`conf`	Cooperative Driving between Autonomous Vehicles and Human-driven Vehicles Considering Stochastic Human Input and System Delay. ECC Sanzida Hossain, Jiaxing Lu, He Bai, Weihua Sheng
2023	A*	`conf`	Cooperative Driving in Mixed Traffic of Manned and Unmanned Vehicles based on Human Driving Behavior Understanding. ICRA Jiaxing Lu, Sanzida Hossain, Weihua Sheng, He Bai
2023	—	`conf`	Data-Driven Koopman-based Modeling and Control of Quadcopter in a Turbulent Wind Field. CCTA Asma Tabassum, He Bai
2023	J	`jnl`	Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning. Autom. Kinjal Bhar, He Bai, Jemin George, Carl E. Busart
2023	C	`conf`	Dynamic covariance prediction using variational Wishart processes with uncertain inputs. ACC Nahid Uzzaman, He Bai
2023	J	`jnl`	Human-Robot Collaborative Lifting Motion Prediction and Experimental Validation. J. Intell. Robotic Syst. Asif Arefeen, Joel Quarnstrom, Shahbaz P. Qadri Syed, He Bai, Yujiang Xiang
2023	A	`conf`	Incorporating Stochastic Human Driving States in Cooperative Driving Between a Human-Driven Vehicle and an Autonomous Vehicle. IROS Sanzida Hossain, Jiaxing Lu, He Bai, Weihua Sheng
2023	C	`conf`	Parameterized input inference for approximate stochastic optimal control. ACC Shahbaz P. Qadri Syed, He Bai
2023	C	`conf`	Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization. ACC Jishnudeep Kar, He Bai, Aranya Chakrabortty
2023	J	`jnl`	Reinforcement Learning-based Control of Nonlinear Systems using Carleman Approximation: Structured and Unstructured Designs. CoRR Jishnudeep Kar, He Bai, Aranya Chakrabortty
2022	J	`jnl`	A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning. CoRR Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
2022	—	`conf`	Asynchronous Bayesian Learning over a Network. CDC Kinjal Bhar, He Bai, Jemin George, Carl E. Busart
2022	J	`jnl`	Asynchronous Bayesian Learning over a Network. CoRR Kinjal Bhar, He Bai, Jemin George, Carl E. Busart
2022	A	`conf`	Development of a Research Testbed for Cooperative Driving in Mixed Traffic of Human-driven and Autonomous Vehicles. IROS Jiaxing Lu, Ryan Stracener, Weihua Sheng, He Bai, Sanzida Hossain
2022	C	`conf`	Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. ACC Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
2022	J	`jnl`	Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. CoRR Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
2022	C	`conf`	Invariant-EKF design for quadcopter wind estimation. ACC Hao Chen, He Bai, Clark N. Taylor
2022	J	`jnl`	Learning Distributed Stabilizing Controllers for Multi-Agent Systems. IEEE Control. Syst. Lett. Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
2021	J	`jnl`	Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. CoRR Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
2021	C	`conf`	Decomposability and Parallel Computation of Multi-Agent LQR. ACC Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty
2021	—	`conf`	Distributed Bayesian Parameter Inference for Physics-Informed Neural Networks. CDC He Bai, Kinjal Bhar, Jemin George, Carl E. Busart
2021	J	`jnl`	Dynamic Control Allocation between Onboard and Delayed Remote Control for Unmanned Aircraft System Detect-and-Avoid. CoRR Asma Tabassum, He Bai
2021	J	`jnl`	Extended invariant-EKF designs for state and additive disturbance estimation. Autom. Kevin Coleman, He Bai, Clark N. Taylor
2021	J	`jnl`	Learning Distributed Stabilizing Controllers for Multi-Agent Systems. CoRR Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
2021	J	`jnl`	Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation. IEEE Trans. Control. Netw. Syst. Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty
2021	J	`jnl`	Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs. Syst. Control. Lett. Sayak Mukherjee, He Bai, Aranya Chakrabortty
2021	C	`conf`	Online Observer-Based Inverse Reinforcement Learning. ACC Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
2021	J	`jnl`	Online Observer-Based Inverse Reinforcement Learning. IEEE Control. Syst. Lett. Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
2021	J	`jnl`	Reduced-dimensional reinforcement learning control using singular perturbation approximations. Autom. Sayak Mukherjee, He Bai, Aranya Chakrabortty
2021	J	`jnl`	Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control. IEEE Trans. Smart Grid Sayak Mukherjee, Aranya Chakrabortty, He Bai, Atena Darvishi, Bruce Fardanesh
2021	J	`jnl`	Variance Reduction of Quadcopter Trajectory Tracking under Stochastic Wind Disturbances. CoRR Asma Tabassum, Rohit K. S. S. Vuppala, He Bai, Kursat Kara
2020	J	`jnl`	A Decentralized Approach to Bayesian Learning. CoRR Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram
2020	C	`conf`	A Variational Bayesian Approach for Estimating System Parameters and Process Noise. FUSION He Bai, Clark N. Taylor
2020	J	`jnl`	Cooperative Aerial Manipulation with Decentralized Adaptive Force-Consensus Control. J. Intell. Robotic Syst. Sandesh Thapa, He Bai, José Ángel Acosta
2020	A*	`conf`	Decentralized Langevin Dynamics for Bayesian Learning. NeurIPS Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram
2020	J	`jnl`	Future Uncertainty-Based Control for Relative Navigation in GPS-Denied Environments. IEEE Trans. Aerosp. Electron. Syst. He Bai, Clark N. Taylor
2020	C	`conf`	Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning. ACC He Bai, Jemin George, Aranya Chakrabortty
2020	J	`jnl`	Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning. CoRR He Bai, Jemin George, Aranya Chakrabortty
2020	J	`jnl`	Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case. CoRR Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty
2020	C	`conf`	Invariant-EKF Design for a Unicycle Robot under Linear Disturbances. ACC Kevin Coleman, He Bai, Clark N. Taylor
2020	J	`jnl`	Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation. CoRR Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty
2020	J	`jnl`	Model-Free Reinforcement Learning of Minimal-Cost Variance Control. IEEE Control. Syst. Lett. Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty
2020	C	`conf`	Multi-Agent Coordination for Distributed Transmit Beamforming. ACC Jemin George, Anjaly Parayil, Cemal Tugrul Yilmaz, Bethany L. Allik, He Bai, Aranya Chakrabortty
2020	C	`conf`	On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems. ACC Sayak Mukherjee, He Bai, Aranya Chakrabortty
2020	J	`jnl`	Online Observer-Based Inverse Reinforcement Learning. CoRR Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
2020	J	`jnl`	Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations. CoRR Sayak Mukherjee, He Bai, Aranya Chakrabortty
2020	—	`conf`	Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations. CCTA Sayak Mukherjee, He Bai, Aranya Chakrabortty
2019	J	`jnl`	A Human-Vehicle Collaborative Driving Framework for Driver Assistance. IEEE Trans. Intell. Transp. Syst. Duy Tran, Jianhao Du, Weihua Sheng, Denis Osipychev, Yuge Sun, He Bai
2019	J	`jnl`	Asymptotic Synchronization of Phase Oscillators With a Single Input. IEEE Trans. Autom. Control. He Bai, John T. Wen
2019	C	`conf`	Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks. ACC Sayak Mukherjee, Aranya Chakrabortty, He Bai
2019	J	`jnl`	Control-enabled Observability and Sensitivity Functions in Visual-Inertial Odometry. J. Intell. Robotic Syst. He Bai, Clark N. Taylor
2019	C	`conf`	Cooperative Aerial Load Transport with Attitude Stabilization. ACC Sandesh Thapa, He Bai, José Ángel Acosta
2019	J	`jnl`	Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation. IEEE Control. Syst. Lett. Sandesh Thapa, Ryan V. Self, Rushikesh Kamalapurkar, He Bai
2019	—	`conf`	Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. CDC Jemin George, Tao Yang, He Bai, Prudhvi Gurram
2019	J	`jnl`	Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. CoRR Jemin George, Tao Yang, He Bai, Prudhvi Gurram
2019	J	`jnl`	Multi-Agent Coordination for Distributed Transmit Beamforming. CoRR Jemin George, Anjaly Parayil, He Bai
2019	J	`jnl`	Relative Heading Estimation and Its Application in Target Handoff in GPS-Denied Environments. IEEE Trans. Control. Syst. Technol. He Bai, Randal W. Beard
2019	J	`jnl`	Wind Estimation Using Quadcopter Motion: A Machine Learning Approach. CoRR Sam Allison, He Bai, Balaji Jayaraman
2018	—	`conf`	Motion-dependent estimation of a spatial vector field with multiple vehicles. CDC He Bai
2018	—	`conf`	Observability driven path planning for relative navigation of unmanned aerial systems. PLANS He Bai, Clark N. Taylor
2018	—	`conf`	On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems. CDC Sayak Mukherjee, He Bai, Aranya Chakrabortty
2017	—	`conf`	An output feedback approach to robust dynamic average consensus. CDC Jemin George, He Bai
2017	—	`conf`	Observability properties of relative position and heading estimation with bearing-only measurements. CDC He Bai, Asad N. Awan
2017	—	`conf`	Orbiting intruder passive ranging for small UAS Detect-and-Avoid. CCTA Jordan Daugherty, He Bai, Sharath Avadhanam
2017	C	`conf`	Relative heading estimation under constant disturbances. ACC Asad N. Awan, He Bai
2016	—	`conf`	A two-time-scale dynamic average consensus estimator. CDC He Bai
2016	C	`conf`	Relative heading estimation for target handoff in GPS-denied environments. ACC He Bai, Randal W. Beard
2016	J	`jnl`	Two-time-scale adaptive internal model designs for motion coordination. Autom. He Bai
2015	—	`conf`	GPS-denied relative motion estimation for fixed-wing UAV using the variational pose estimator. CDC Maziar Izadi, Amit K. Sanyal, Randy W. Beard, He Bai
2015	—	`conf`	Improving cooperative tracking of an urban target with target motion model learning. CDC He Bai, Kevin Cook, Huili Yu, Kyle Ingersoll, Randy W. Beard, Kevin D. Seppi, Sharath Avadhanam
2015	J	`jnl`	Synchronization under space and time-dependent heterogeneities. Autom. Sayed Yusef Shafi, He Bai
2014	—	`conf`	Homogenization in reaction-diffusion PDEs under space and time-dependent heterogeneities. CDC Sayed Yusef Shafi, He Bai
2014	J	`jnl`	Intelligent Cooperative Control for Urban Tracking. J. Intell. Robotic Syst. Kevin Cook, Everett Bryan, Huili Yu, He Bai, Kevin D. Seppi, Randal W. Beard
2014	C	`conf`	Uncertainty estimation for random sample consensus. ICARCV Huili Yu, Shalini Keshavamurthy, He Bai, Sameer Sheorey, Hieu T. Nguyen, Clark N. Taylor
2013	J	`jnl`	Output Synchronization of Nonlinear Systems under Input Disturbances. CoRR He Bai, Sayed Yusef Shafi
2011	—	`book`	Cooperative Control Design - A Systematic, Passivity-Based Approach. He Bai, Murat Arcak, John T. Wen
2011	C	`conf`	DIstributed Kalman Filtering Using The Internal Model Average Consensus Estimator. ACC He Bai, Randy A. Freeman, Kevin M. Lynch
2010	J	`jnl`	Cooperative Load Transport: A Formation-Control Perspective. IEEE Trans. Robotics He Bai, John T. Wen
2010	J	`jnl`	Instability Mechanisms in Cooperative Control. IEEE Trans. Autom. Control. He Bai, Murat Arcak
2010	C	`conf`	Parallel-channel flow instabilities and active control schemes in two-phase microchannel heat exchanger systems. ACC Tiejun Zhang, John T. Wen, Agung Julius, He Bai, Yoav Peles, Michael K. Jensen
2010	—	`conf`	Robust dynamic average consensus of time-varying inputs. CDC He Bai, Randy A. Freeman, Kevin M. Lynch
2010	C	`conf`	The undesired equilibria of formation control with ring graphs. ACC He Bai
2009	J	`jnl`	Adaptive motion coordination: Using relative velocity feedback to track a reference velocity. Autom. He Bai, Murat Arcak, John T. Wen
2009	—	`conf`	Experimental verification of formation control with distributed cameras. CDC He Bai, Karen D. Chapin, John D. Wason, John T. Wen
2009	C	`conf`	Motion coordination through cooperative payload transport. ACC He Bai, John T. Wen
2008	J	`jnl`	Adaptive design for reference velocity recovery in motion coordination. Syst. Control. Lett. He Bai, Murat Arcak, John T. Wen
2008	C	`conf`	Adaptive motion coordination: Using velocity feedback to achieve parameter convergence. ACC He Bai, Murat Arcak, John T. Wen
2008	—	`conf`	Instability mechanisms in cooperative control. CDC He Bai, Murat Arcak
2008	J	`jnl`	Rigid body attitude coordination without inertial frame information. Autom. He Bai, Murat Arcak, John T. Wen
2008	C	`conf`	Using orientation agreement to achieve planar rigid formation. ACC He Bai, Murat Arcak, John T. Wen
2007	—	`conf`	A decentralized design for group alignment and synchronous rotation without inertial frame information. CDC He Bai, Murat Arcak, John T. Wen
2007	C	`conf`	Group Coordination when the Reference Velocity is Available Only to the Leader: An Adaptive Design. ACC He Bai, Murat Arcak, John T. Wen