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He Bai 0001
Person information
- affiliation: Oklahoma State University, School of Mechanical and Aerospace Engineering, Stillwater, OK, USA
- affiliation (2010 - 2015): UtopiaCompression Corporation, Los Angeles, CA, USA
- affiliation (2009 - 2010): Northwestern University, Department of Mechanical Engineering, Evanston, IL, USA
- affiliation (PhD 2009): Rensselaer Polytechnic Institute, Department of Electrical Computer and Systems Engineering, Troy, NY, USA
Other persons with the same name
- He Bai 0002
(aka: Richard He Bai) — University of Waterloo, School of Computer Science, Canada (and 1 more)
- He Bai 0003 — City Cloud Technology (Hangzhou) Co., Ltd., China (and 1 more)
- He Bai 0004 — Dalian University of Technology, School of Management, China
- He Bai 0005
- He Bai 0007 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- He Bai 0008 — Shanghai Normal University, China
- He Bai 0009 — National University of Defense Technology, College of Computer Science and Technology, Changsha, China
- He Bai 0010 — Xidian University, School of Electronic Engineering, Xi'an, China
- He Bai 0011 — Peking University, School of Electronic and Computer Engineering, Shenzhen, China
- He Bai 0012 — China Academy of Space Technology, National Key Laboratory of Science and Technology on Space Microwave, Xi'an, China
- He Bai 0013 — Carnegie Mellon University, Pittsburgh, PA, USA
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Books and Theses
- 2011
- [b1]He Bai, Murat Arcak, John T. Wen:
Cooperative Control Design - A Systematic, Passivity-Based Approach. Communications and control engineering, Springer 2011, ISBN 978-1-4614-0013-4, pp. I-XIV, 1-209
Journal Articles
- 2025
- [j29]Shahbaz P. Qadri Syed, He Bai:
Approximate constrained stochastic optimal control via parameterized input inference. Autom. 171: 111978 (2025) - 2024
- [j28]Gangshan Jing
Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions. IEEE Trans. Autom. Control. 69(10): 6636-6651 (2024) - [j27]Gangshan Jing
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. IEEE Trans. Autom. Control. 69(11): 7524-7539 (2024) - [j26]Jiaxing Lu
A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. 25(9): 11868-11880 (2024) - 2023
- [j25]Kinjal Bhar, He Bai, Jemin George, Carl E. Busart:
Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning. Autom. 156: 111221 (2023) - [j24]Asif Arefeen, Joel Quarnstrom, Shahbaz P. Qadri Syed, He Bai, Yujiang Xiang
Human-Robot Collaborative Lifting Motion Prediction and Experimental Validation. J. Intell. Robotic Syst. 109(4): 80 (2023) - 2022
- [j23]Gangshan Jing
Learning Distributed Stabilizing Controllers for Multi-Agent Systems. IEEE Control. Syst. Lett. 6: 301-306 (2022) - 2021
- [j22]Kevin Coleman, He Bai, Clark N. Taylor:
Extended invariant-EKF designs for state and additive disturbance estimation. Autom. 125: 109464 (2021) - [j21]Sayak Mukherjee, He Bai, Aranya Chakrabortty
Reduced-dimensional reinforcement learning control using singular perturbation approximations. Autom. 126: 109451 (2021) - [j20]Ryan Self
Online Observer-Based Inverse Reinforcement Learning. IEEE Control. Syst. Lett. 5(6): 1922-1927 (2021) - [j19]Sayak Mukherjee
Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs. Syst. Control. Lett. 154: 104983 (2021) - [j18]Gangshan Jing
Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation. IEEE Trans. Control. Netw. Syst. 8(3): 1069-1081 (2021) - [j17]Sayak Mukherjee
Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control. IEEE Trans. Smart Grid 12(3): 2389-2401 (2021) - 2020
- [j16]Gangshan Jing
Model-Free Reinforcement Learning of Minimal-Cost Variance Control. IEEE Control. Syst. Lett. 4(4): 916-921 (2020) - [j15]Sandesh Thapa
Cooperative Aerial Manipulation with Decentralized Adaptive Force-Consensus Control. J. Intell. Robotic Syst. 97(1): 171-183 (2020) - [j14]He Bai
Future Uncertainty-Based Control for Relative Navigation in GPS-Denied Environments. IEEE Trans. Aerosp. Electron. Syst. 56(5): 3491-3501 (2020) - 2019
- [j13]Sandesh Thapa
Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation. IEEE Control. Syst. Lett. 3(4): 907-912 (2019) - [j12]He Bai
Control-enabled Observability and Sensitivity Functions in Visual-Inertial Odometry. J. Intell. Robotic Syst. 93(1-2): 289-301 (2019) - [j11]He Bai
Asymptotic Synchronization of Phase Oscillators With a Single Input. IEEE Trans. Autom. Control. 64(4): 1611-1618 (2019) - [j10]He Bai
Relative Heading Estimation and Its Application in Target Handoff in GPS-Denied Environments. IEEE Trans. Control. Syst. Technol. 27(1): 74-85 (2019) - [j9]Duy Tran
A Human-Vehicle Collaborative Driving Framework for Driver Assistance. IEEE Trans. Intell. Transp. Syst. 20(9): 3470-3485 (2019) - 2016
- [j8]He Bai:
Two-time-scale adaptive internal model designs for motion coordination. Autom. 73: 289-295 (2016) - 2015
- [j7]Sayed Yusef Shafi, He Bai:
Synchronization under space and time-dependent heterogeneities. Autom. 62: 274-283 (2015) - 2014
- [j6]Kevin Cook, Everett Bryan, Huili Yu, He Bai, Kevin D. Seppi, Randal W. Beard:
Intelligent Cooperative Control for Urban Tracking. J. Intell. Robotic Syst. 74(1-2): 251-267 (2014) - 2010
- [j5]He Bai, Murat Arcak:
Instability Mechanisms in Cooperative Control. IEEE Trans. Autom. Control. 55(1): 258-263 (2010) - [j4]He Bai, John T. Wen
Cooperative Load Transport: A Formation-Control Perspective. IEEE Trans. Robotics 26(4): 742-750 (2010) - 2009
- [j3]He Bai, Murat Arcak, John T. Wen
Adaptive motion coordination: Using relative velocity feedback to track a reference velocity. Autom. 45(4): 1020-1025 (2009) - 2008
- [j2]He Bai, Murat Arcak, John T. Wen
Rigid body attitude coordination without inertial frame information. Autom. 44(12): 3170-3175 (2008) - [j1]He Bai, Murat Arcak, John T. Wen
Adaptive design for reference velocity recovery in motion coordination. Syst. Control. Lett. 57(8): 602-610 (2008)
Conference and Workshop Papers
- 2024
- [c50]Nahid Uzzaman, He Bai:
A novel variational Bayesian adaptive Kalman filter for systems with unknown state-dependent noise covariance matrices. ACC 2024: 1192-1197 - 2023
- [c49]Nahid Uzzaman, He Bai:
Dynamic covariance prediction using variational Wishart processes with uncertain inputs. ACC 2023: 125-130 - [c48]Shahbaz P. Qadri Syed, He Bai:
Parameterized input inference for approximate stochastic optimal control. ACC 2023: 2574-2579 - [c47]Jishnudeep Kar, He Bai, Aranya Chakrabortty
Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization. ACC 2023: 3362-3367 - [c46]Asma Tabassum, He Bai:
Data-Driven Koopman-based Modeling and Control of Quadcopter in a Turbulent Wind Field. CCTA 2023: 490-495 - [c45]Sanzida Hossain, Jiaxing Lu, He Bai, Weihua Sheng:
Cooperative Driving between Autonomous Vehicles and Human-driven Vehicles Considering Stochastic Human Input and System Delay. ECC 2023: 1-6 - [c44]Asma Tabassum
A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations. HCI (48) 2023: 444-460 - [c43]Jiaxing Lu, Sanzida Hossain, Weihua Sheng, He Bai:
Cooperative Driving in Mixed Traffic of Manned and Unmanned Vehicles based on Human Driving Behavior Understanding. ICRA 2023: 3532-3538 - [c42]Sanzida Hossain, Jiaxing Lu, He Bai, Weihua Sheng:
Incorporating Stochastic Human Driving States in Cooperative Driving Between a Human-Driven Vehicle and an Autonomous Vehicle. IROS 2023: 685-690 - 2022
- [c41]Hao Chen, He Bai, Clark N. Taylor:
Invariant-EKF design for quadcopter wind estimation. ACC 2022: 1236-1241 - [c40]Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. ACC 2022: 3273-3278 - [c39]Kinjal Bhar, He Bai, Jemin George, Carl E. Busart:
Asynchronous Bayesian Learning over a Network. CDC 2022: 2393-2398 - [c38]Jiaxing Lu, Ryan Stracener, Weihua Sheng, He Bai, Sanzida Hossain:
Development of a Research Testbed for Cooperative Driving in Mixed Traffic of Human-driven and Autonomous Vehicles. IROS 2022: 11403-11408 - 2021
- [c37]Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
Online Observer-Based Inverse Reinforcement Learning. ACC 2021: 1959-1964 - [c36]Gangshan Jing
Decomposability and Parallel Computation of Multi-Agent LQR. ACC 2021: 4527-4532 - [c35]He Bai, Kinjal Bhar, Jemin George, Carl E. Busart:
Distributed Bayesian Parameter Inference for Physics-Informed Neural Networks. CDC 2021: 2911-2916 - 2020
- [c34]Jemin George, Anjaly Parayil, Cemal Tugrul Yilmaz, Bethany L. Allik, He Bai, Aranya Chakrabortty:
Multi-Agent Coordination for Distributed Transmit Beamforming. ACC 2020: 144-149 - [c33]He Bai, Jemin George, Aranya Chakrabortty:
Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning. ACC 2020: 340-345 - [c32]Kevin Coleman, He Bai, Clark N. Taylor:
Invariant-EKF Design for a Unicycle Robot under Linear Disturbances. ACC 2020: 3479-3484 - [c31]Sayak Mukherjee, He Bai, Aranya Chakrabortty:
On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems. ACC 2020: 3914-3919 - [c30]Sayak Mukherjee, He Bai, Aranya Chakrabortty:
Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations. CCTA 2020: 346-351 - [c29]He Bai, Clark N. Taylor:
A Variational Bayesian Approach for Estimating System Parameters and Process Noise. FUSION 2020: 1-7 - [c28]Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram:
Decentralized Langevin Dynamics for Bayesian Learning. NeurIPS 2020 - 2019
- [c27]Sayak Mukherjee, Aranya Chakrabortty, He Bai:
Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks. ACC 2019: 2233-2238 - [c26]Sandesh Thapa
Cooperative Aerial Load Transport with Attitude Stabilization. ACC 2019: 2245-2250 - [c25]Jemin George, Tao Yang, He Bai, Prudhvi Gurram:
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. CDC 2019: 5538-5543 - 2018
- [c24]He Bai:
Motion-dependent estimation of a spatial vector field with multiple vehicles. CDC 2018: 1379-1384 - [c23]Sayak Mukherjee, He Bai, Aranya Chakrabortty
On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems. CDC 2018: 5288-5293 - [c22]He Bai, Clark N. Taylor
Observability driven path planning for relative navigation of unmanned aerial systems. PLANS 2018: 793-800 - 2017
- [c21]Asad N. Awan, He Bai:
Relative heading estimation under constant disturbances. ACC 2017: 4203-4208 - [c20]Jordan Daugherty, He Bai, Sharath Avadhanam:
Orbiting intruder passive ranging for small UAS Detect-and-Avoid. CCTA 2017: 1091-1096 - [c19]Jemin George, He Bai:
An output feedback approach to robust dynamic average consensus. CDC 2017: 2306-2311 - [c18]He Bai, Asad N. Awan:
Observability properties of relative position and heading estimation with bearing-only measurements. CDC 2017: 6448-6453 - 2016
- [c17]He Bai, Randal W. Beard:
Relative heading estimation for target handoff in GPS-denied environments. ACC 2016: 336-341 - [c16]He Bai:
A two-time-scale dynamic average consensus estimator. CDC 2016: 75-80 - 2015
- [c15]Maziar Izadi, Amit K. Sanyal, Randy W. Beard, He Bai:
GPS-denied relative motion estimation for fixed-wing UAV using the variational pose estimator. CDC 2015: 2152-2157 - [c14]He Bai, Kevin Cook, Huili Yu, Kyle Ingersoll, Randy W. Beard, Kevin D. Seppi, Sharath Avadhanam:
Improving cooperative tracking of an urban target with target motion model learning. CDC 2015: 2347-2352 - 2014
- [c13]Sayed Yusef Shafi, He Bai:
Homogenization in reaction-diffusion PDEs under space and time-dependent heterogeneities. CDC 2014: 5242-5247 - [c12]Huili Yu, Shalini Keshavamurthy, He Bai, Sameer Sheorey
Uncertainty estimation for random sample consensus. ICARCV 2014: 395-400 - 2011
- [c11]He Bai, Randy A. Freeman, Kevin M. Lynch:
DIstributed Kalman Filtering Using The Internal Model Average Consensus Estimator. ACC 2011: 1500-1505 - 2010
- [c10]He Bai:
The undesired equilibria of formation control with ring graphs. ACC 2010: 1653-1658 - [c9]Tiejun Zhang
Parallel-channel flow instabilities and active control schemes in two-phase microchannel heat exchanger systems. ACC 2010: 3753-3758 - [c8]He Bai, Randy A. Freeman, Kevin M. Lynch:
Robust dynamic average consensus of time-varying inputs. CDC 2010: 3104-3109 - 2009
- [c7]He Bai, John T. Wen
Motion coordination through cooperative payload transport. ACC 2009: 1310-1315 - [c6]He Bai, Karen D. Chapin, John D. Wason, John T. Wen:
Experimental verification of formation control with distributed cameras. CDC 2009: 2996-3001 - 2008
- [c5]He Bai, Murat Arcak, John T. Wen
Using orientation agreement to achieve planar rigid formation. ACC 2008: 753-758 - [c4]He Bai, Murat Arcak, John T. Wen
Adaptive motion coordination: Using velocity feedback to achieve parameter convergence. ACC 2008: 759-764 - [c3]He Bai, Murat Arcak:
Instability mechanisms in cooperative control. CDC 2008: 357-362 - 2007
- [c2]He Bai, Murat Arcak, John T. Wen
Group Coordination when the Reference Velocity is Available Only to the Leader: An Adaptive Design. ACC 2007: 5400-5405 - [c1]He Bai, Murat Arcak, John T. Wen
A decentralized design for group alignment and synchronous rotation without inertial frame information. CDC 2007: 2552-2557
Informal and Other Publications
- 2024
- [i22]Haoyang Wang, He Bai, Xiaoli Zhang, Yunsik Jung, Michel Bowman, Lingfeng Tao:
Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach. CoRR abs/2408.00853 (2024) - [i21]Haoran Guo, Haoyang Wang, Zhengxiong Li, He Bai, Lingfeng Tao:
Impact of Tactile Sensor Quantities and Placements on Learning-based Dexterous Manipulation. CoRR abs/2409.20473 (2024) - 2023
- [i20]Jishnudeep Kar, He Bai, Aranya Chakrabortty:
Reinforcement Learning-based Control of Nonlinear Systems using Carleman Approximation: Structured and Unstructured Designs. CoRR abs/2302.10864 (2023) - [i19]Asma Tabassum, He Bai, Nicoletta Fala
A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations. CoRR abs/2309.04543 (2023) - [i18]Kinjal Bhar, He Bai, Jemin George, Carl E. Busart:
Asynchronous Local Computations in Distributed Bayesian Learning. CoRR abs/2311.03496 (2023) - 2022
- [i17]Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. CoRR abs/2201.04962 (2022) - [i16]Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2202.13046 (2022) - [i15]Kinjal Bhar, He Bai, Jemin George, Carl E. Busart:
Asynchronous Bayesian Learning over a Network. CoRR abs/2211.08603 (2022) - 2021
- [i14]Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Learning Distributed Stabilizing Controllers for Multi-Agent Systems. CoRR abs/2103.04480 (2021) - [i13]Asma Tabassum, He Bai:
Dynamic Control Allocation between Onboard and Delayed Remote Control for Unmanned Aircraft System Detect-and-Avoid. CoRR abs/2103.07820 (2021) - [i12]Asma Tabassum, Rohit K. S. S. Vuppala, He Bai, Kursat Kara:
Variance Reduction of Quadcopter Trajectory Tracking under Stochastic Wind Disturbances. CoRR abs/2104.10266 (2021) - [i11]Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. CoRR abs/2107.12416 (2021) - 2020
- [i10]Sayak Mukherjee, He Bai, Aranya Chakrabortty:
Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations. CoRR abs/2004.14501 (2020) - [i9]Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram:
A Decentralized Approach to Bayesian Learning. CoRR abs/2007.06799 (2020) - [i8]He Bai, Jemin George, Aranya Chakrabortty:
Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning. CoRR abs/2007.14186 (2020) - [i7]Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation. CoRR abs/2008.06604 (2020) - [i6]Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case. CoRR abs/2010.08615 (2020) - [i5]Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar:
Online Observer-Based Inverse Reinforcement Learning. CoRR abs/2011.02057 (2020) - 2019
- [i4]Sam Allison, He Bai, Balaji Jayaraman:
Wind Estimation Using Quadcopter Motion: A Machine Learning Approach. CoRR abs/1907.05720 (2019) - [i3]Jemin George, Tao Yang, He Bai, Prudhvi Gurram:
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. CoRR abs/1908.06693 (2019) - [i2]Jemin George, Anjaly Parayil, He Bai:
Multi-Agent Coordination for Distributed Transmit Beamforming. CoRR abs/1909.10556 (2019) - 2013
- [i1]He Bai, Sayed Yusef Shafi:
Output Synchronization of Nonlinear Systems under Input Disturbances. CoRR abs/1312.6421 (2013)
Coauthor Index
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