Jia Guo

According to our database, Jia Guo authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Event-Triggered Basis Augmentation for Multiagent Collaborative Adaptive Estimation.

Jia Guo, Fumin Zhang

IEEE Trans. Autom. Control., February, 2025

InfoFuse: A Post-Process Video-Mocap Information Fusion Approach for Human-Centered Interaction Research.

Jiahao Liu, Jia Guo, Sushrut Sudarshan Surve, Jovan C. Menezes, Daniele Fragiacomo, Kevin Thomas Martinez, Kwame Agyemang Baffour, Silvia Ferrari, Aleshia T. Hayes, Oyewole Oyekoya, Andrea Stevenson Won

Proceedings of the 2025 20th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 2025

Online Waypoint Recognition of Controlled Agents in Uncertain Environments.

Jia Guo, Sushrut Surve, Zilong He, Silvia Ferrari, Sarah Keren

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

UnRealTHASC - A Cyber-Physical XR Testbed for Underwater Real-Time Human Autonomous Systems Collaboration.

Sushrut Surve, Jia Guo, Jovan C. Menezes, Connor Tate, Yiting Jin, Justin Walker, Silvia Ferrari

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Newton Bases and Event-Triggered Adaptive Control in Native Spaces.

Nathan Powell, Andrew J. Kurdila, Andrea L'Afflitto, Haoran Wang, Jia Guo

Proceedings of the American Control Conference, 2024

2023

Partial Persistence of Excitation in RKHS Embedded Adaptive Estimation.

Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila

IEEE Trans. Autom. Control., October, 2023

Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques.

Sai Tej Paruchuri, Jia Guo, Andrew Kurdila

IEEE Trans. Autom. Control., February, 2023

A Model Reference Adaptive Controller Based on Operator-Valued Kernel Functions.

Derek I. Oesterheld, Daniel J. Stilwell, Andrew J. Kurdila, Jia Guo

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Error Bounds for Native Space Embedding Observers with Operator-Valued Kernels.

John A. Burns, Jia Guo, Andrew J. Kurdila, Sai Tej Paruchuri, Haoran Wang

Proceedings of the American Control Conference, 2023

2022

Approximation of Koopman Operators: Irregular Domains and Positive Orbits.

Nathan Powell, Roger Liu, Jia Guo, Sai Tej Paruchuri, John A. Burns, Boone Estes, Andrew J. Kurdila

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Collaborative Persistent Excitation in RKHS Embedded Adaptive Estimation with Consensus.

Jia Guo, Fumin Zhang, Andrew J. Kurdila

Proceedings of the American Control Conference, 2022

2021

Strictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels.

Jia Guo, Michael E. Kepler, Sai Tej Paruchuri, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell

CoRR, 2021

2020

Kernel Center Adaptation in the Reproducing Kernel Hilbert Space Embedding Method.

Sai Tej Paruchuri, Jia Guo, Andrew Kurdila

CoRR, 2020

RKHS Embedding for Estimating Nonlinear Piezoelectric Systems.

Sai Tej Paruchuri, Jia Guo, Andrew J. Kurdila

CoRR, 2020

Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds.

Sai Tej Paruchuri, Jia Guo, Michael E. Kepler, Tim Ryan, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds.

Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Persistence of Excitation in Uniformly Embedded Reproducing Kernel Hilbert (RKH) Spaces.

Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila

Proceedings of the 2020 American Control Conference, 2020

2019

Persistence of Excitation in Reproducing Kernel Hilbert Spaces, Positive Limit Sets, and Smooth Manifolds.

Andrew J. Kurdila, Jia Guo, Sai Tej Paruchuri, Parag Bobade

CoRR, 2019