Jia Guo

21 papers A* 1B 1C 4Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Event-Triggered Basis Augmentation for Multiagent Collaborative Adaptive Estimation.
IEEE Trans. Autom. Control.
Jia Guo, Fumin Zhang
2025 — conf
InfoFuse: A Post-Process Video-Mocap Information Fusion Approach for Human-Centered Interaction Research.
VRCAI
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
2025 A* conf
Online Waypoint Recognition of Controlled Agents in Uncertain Environments.
ICRA
Jia Guo, Sushrut Surve, Zilong He, Silvia Ferrari, Sarah Keren
2024 C conf
Newton Bases and Event-Triggered Adaptive Control in Native Spaces.
ACC
Nathan Powell, Andrew J. Kurdila, Andrea L'Afflitto, Haoran Wang, Jia Guo
2024 B conf
UnRealTHASC - A Cyber-Physical XR Testbed for Underwater Real-Time Human Autonomous Systems Collaboration.
RO-MAN
Sushrut Surve, Jia Guo, Jovan C. Menezes, Connor Tate, Yiting Jin, Justin Walker, Silvia Ferrari
2023 — conf
A Model Reference Adaptive Controller Based on Operator-Valued Kernel Functions.
CDC
Derek I. Oesterheld, Daniel J. Stilwell, Andrew J. Kurdila, Jia Guo
2023 C conf
Error Bounds for Native Space Embedding Observers with Operator-Valued Kernels.
ACC
John A. Burns, Jia Guo, Andrew J. Kurdila, Sai Tej Paruchuri, Haoran Wang
2023 J jnl
Partial Persistence of Excitation in RKHS Embedded Adaptive Estimation.
IEEE Trans. Autom. Control.
Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila
2023 J jnl
Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques.
IEEE Trans. Autom. Control.
Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
2022 — conf
Approximation of Koopman Operators: Irregular Domains and Positive Orbits.
CDC
Nathan Powell, Roger Liu, Jia Guo, Sai Tej Paruchuri, John A. Burns, Boone Estes, Andrew J. Kurdila
2022 C conf
Collaborative Persistent Excitation in RKHS Embedded Adaptive Estimation with Consensus.
ACC
Jia Guo, Fumin Zhang, Andrew J. Kurdila
2021 J jnl
Strictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels.
CoRR
Jia Guo, Michael E. Kepler, Sai Tej Paruchuri, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell
2020 — conf
Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds.
CDC
Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila
2020 J jnl
Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds.
CoRR
Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila
2020 — conf
Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds.
CDC
Sai Tej Paruchuri, Jia Guo, Michael E. Kepler, Tim Ryan, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell
2020 J jnl
Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds.
CoRR
Sai Tej Paruchuri, Jia Guo, Michael E. Kepler, Tim Ryan, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell
2020 J jnl
Kernel Center Adaptation in the Reproducing Kernel Hilbert Space Embedding Method.
CoRR
Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
2020 C conf
Persistence of Excitation in Uniformly Embedded Reproducing Kernel Hilbert (RKH) Spaces.
ACC
Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila
2020 J jnl
RKHS Embedding for Estimating Nonlinear Piezoelectric Systems.
CoRR
Sai Tej Paruchuri, Jia Guo, Andrew J. Kurdila
2020 J jnl
Sufficient Conditions for Parameter Convergence over Embedded Manifolds using Kernel Techniques.
CoRR
Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
2019 J jnl
Persistence of Excitation in Reproducing Kernel Hilbert Spaces, Positive Limit Sets, and Smooth Manifolds.
CoRR
Andrew J. Kurdila, Jia Guo, Sai Tej Paruchuri, Parag Bobade