He Bai

Orcid: 0000-0002-4247-0698

Affiliations:
  • Oklahoma State University, School of Mechanical and Aerospace Engineering, Stillwater, OK, USA
  • UtopiaCompression Corporation, Los Angeles, CA, USA (2010 - 2015)
  • Northwestern University, Department of Mechanical Engineering, Evanston, IL, USA (2009 - 2010)
  • Rensselaer Polytechnic Institute, Department of Electrical Computer and Systems Engineering, Troy, NY, USA (PhD 2009)


According to our database1, He Bai authored at least 85 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Human-Robot Collaborative Lifting Motion Prediction and Experimental Validation.
J. Intell. Robotic Syst., December, 2023

Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning.
Autom., October, 2023

Asynchronous Local Computations in Distributed Bayesian Learning.
CoRR, 2023

Reinforcement Learning-based Control of Nonlinear Systems using Carleman Approximation: Structured and Unstructured Designs.
CoRR, 2023

Incorporating Stochastic Human Driving States in Cooperative Driving Between a Human-Driven Vehicle and an Autonomous Vehicle.
IROS, 2023

Cooperative Driving in Mixed Traffic of Manned and Unmanned Vehicles based on Human Driving Behavior Understanding.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

Cooperative Driving between Autonomous Vehicles and Human-driven Vehicles Considering Stochastic Human Input and System Delay.
Proceedings of the European Control Conference, 2023

Data-Driven Koopman-based Modeling and Control of Quadcopter in a Turbulent Wind Field.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Dynamic covariance prediction using variational Wishart processes with uncertain inputs.
Proceedings of the American Control Conference, 2023

Parameterized input inference for approximate stochastic optimal control.
Proceedings of the American Control Conference, 2023

Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization.
Proceedings of the American Control Conference, 2023

2022
Learning Distributed Stabilizing Controllers for Multi-Agent Systems.
IEEE Control. Syst. Lett., 2022

A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2022

Development of a Research Testbed for Cooperative Driving in Mixed Traffic of Human-driven and Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Asynchronous Bayesian Learning over a Network.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph.
Proceedings of the American Control Conference, 2022

Invariant-EKF design for quadcopter wind estimation.
Proceedings of the American Control Conference, 2022

2021
Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control.
IEEE Trans. Smart Grid, 2021

Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation.
IEEE Trans. Control. Netw. Syst., 2021

Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs.
Syst. Control. Lett., 2021

Online Observer-Based Inverse Reinforcement Learning.
IEEE Control. Syst. Lett., 2021

Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent.
CoRR, 2021

Variance Reduction of Quadcopter Trajectory Tracking under Stochastic Wind Disturbances.
CoRR, 2021

Dynamic Control Allocation between Onboard and Delayed Remote Control for Unmanned Aircraft System Detect-and-Avoid.
CoRR, 2021

Reduced-dimensional reinforcement learning control using singular perturbation approximations.
Autom., 2021

Extended invariant-EKF designs for state and additive disturbance estimation.
Autom., 2021

Distributed Bayesian Parameter Inference for Physics-Informed Neural Networks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Decomposability and Parallel Computation of Multi-Agent LQR.
Proceedings of the 2021 American Control Conference, 2021

2020
Future Uncertainty-Based Control for Relative Navigation in GPS-Denied Environments.
IEEE Trans. Aerosp. Electron. Syst., 2020

Cooperative Aerial Manipulation with Decentralized Adaptive Force-Consensus Control.
J. Intell. Robotic Syst., 2020

Model-Free Reinforcement Learning of Minimal-Cost Variance Control.
IEEE Control. Syst. Lett., 2020

Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case.
CoRR, 2020

Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation.
CoRR, 2020

A Decentralized Approach to Bayesian Learning.
CoRR, 2020

Decentralized Langevin Dynamics for Bayesian Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Variational Bayesian Approach for Estimating System Parameters and Process Noise.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems.
Proceedings of the 2020 American Control Conference, 2020

Multi-Agent Coordination for Distributed Transmit Beamforming.
Proceedings of the 2020 American Control Conference, 2020

Invariant-EKF Design for a Unicycle Robot under Linear Disturbances.
Proceedings of the 2020 American Control Conference, 2020

Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning.
Proceedings of the 2020 American Control Conference, 2020

2019
A Human-Vehicle Collaborative Driving Framework for Driver Assistance.
IEEE Trans. Intell. Transp. Syst., 2019

Relative Heading Estimation and Its Application in Target Handoff in GPS-Denied Environments.
IEEE Trans. Control. Syst. Technol., 2019

Asymptotic Synchronization of Phase Oscillators With a Single Input.
IEEE Trans. Autom. Control., 2019

Control-enabled Observability and Sensitivity Functions in Visual-Inertial Odometry.
J. Intell. Robotic Syst., 2019

Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation.
IEEE Control. Syst. Lett., 2019

Multi-Agent Coordination for Distributed Transmit Beamforming.
CoRR, 2019

Wind Estimation Using Quadcopter Motion: A Machine Learning Approach.
CoRR, 2019

Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Cooperative Aerial Load Transport with Attitude Stabilization.
Proceedings of the 2019 American Control Conference, 2019

Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks.
Proceedings of the 2019 American Control Conference, 2019

2018
Observability driven path planning for relative navigation of unmanned aerial systems.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018

On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Motion-dependent estimation of a spatial vector field with multiple vehicles.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
An output feedback approach to robust dynamic average consensus.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Observability properties of relative position and heading estimation with bearing-only measurements.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Orbiting intruder passive ranging for small UAS Detect-and-Avoid.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Relative heading estimation under constant disturbances.
Proceedings of the 2017 American Control Conference, 2017

2016
Two-time-scale adaptive internal model designs for motion coordination.
Autom., 2016

A two-time-scale dynamic average consensus estimator.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Relative heading estimation for target handoff in GPS-denied environments.
Proceedings of the 2016 American Control Conference, 2016

2015
Synchronization under space and time-dependent heterogeneities.
Autom., 2015

GPS-denied relative motion estimation for fixed-wing UAV using the variational pose estimator.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Improving cooperative tracking of an urban target with target motion model learning.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Intelligent Cooperative Control for Urban Tracking.
J. Intell. Robotic Syst., 2014

Uncertainty estimation for random sample consensus.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Homogenization in reaction-diffusion PDEs under space and time-dependent heterogeneities.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Output Synchronization of Nonlinear Systems under Input Disturbances.
CoRR, 2013

2011
DIstributed Kalman Filtering Using The Internal Model Average Consensus Estimator.
Proceedings of the American Control Conference, 2011

Cooperative Control Design - A Systematic, Passivity-Based Approach.
Communications and control engineering, Springer, ISBN: 978-1-4614-0013-4, 2011

2010
Cooperative Load Transport: A Formation-Control Perspective.
IEEE Trans. Robotics, 2010

Instability Mechanisms in Cooperative Control.
IEEE Trans. Autom. Control., 2010

Robust dynamic average consensus of time-varying inputs.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Parallel-channel flow instabilities and active control schemes in two-phase microchannel heat exchanger systems.
Proceedings of the American Control Conference, 2010

The undesired equilibria of formation control with ring graphs.
Proceedings of the American Control Conference, 2010

2009
Adaptive motion coordination: Using relative velocity feedback to track a reference velocity.
Autom., 2009

Experimental verification of formation control with distributed cameras.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Motion coordination through cooperative payload transport.
Proceedings of the American Control Conference, 2009

2008
Adaptive design for reference velocity recovery in motion coordination.
Syst. Control. Lett., 2008

Rigid body attitude coordination without inertial frame information.
Autom., 2008

Adaptive motion coordination: Using velocity feedback to achieve parameter convergence.
Proceedings of the American Control Conference, 2008

Using orientation agreement to achieve planar rigid formation.
Proceedings of the American Control Conference, 2008

2007
A decentralized design for group alignment and synchronous rotation without inertial frame information.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Group Coordination when the Reference Velocity is Available Only to the Leader: An Adaptive Design.
Proceedings of the American Control Conference, 2007


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