J. Joe Payne

13 papers A* 2A 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Hybrid Iterative Linear Quadratic Estimation: Optimal Estimation for Hybrid Systems.
IEEE Robotics Autom. Lett.
J. Joe Payne, James Zhu, Nathan J. Kong, Aaron M. Johnson
2024 A* conf
Convergent iLQR for Safe Trajectory Planning and Control of Legged Robots.
ICRA
James Zhu, J. Joe Payne, Aaron M. Johnson
2024 J jnl
Double-Anonymous Review for Robotics.
CoRR
Justin K. Yim, Paul Nadan, James Zhu, Alexandra Stutt, J. Joe Payne, Catherine Pavlov, Aaron M. Johnson
2024 J jnl
Hybrid Iterative Linear Quadratic Estimation: Optimal Estimation for Hybrid Systems.
CoRR
J. Joe Payne, James Zhu, Nathan J. Kong, Aaron M. Johnson
2024 J jnl
Multi-Momentum Observer Contact Estimation for Bipedal Robots.
CoRR
J. Joe Payne, Daniel A. Hagen, Denis Garagic, Aaron M. Johnson
2024 J jnl
Saltation Matrices: The Essential Tool for Linearizing Hybrid Dynamical Systems.
Proc. IEEE
Nathan J. Kong, J. Joe Payne, James Zhu, Aaron M. Johnson
2023 J jnl
Convergent iLQR for Safe Trajectory Planning and Control of Legged Robots.
CoRR
James Zhu, J. Joe Payne, Aaron M. Johnson
2023 J jnl
Saltation Matrices: The Essential Tool for Linearizing Hybrid Dynamical Systems.
CoRR
Nathan J. Kong, J. Joe Payne, James Zhu, Aaron M. Johnson
2022 A* conf
Periodic SLAM: Using Cyclic Constraints to Improve the Performance of Visual-Inertial SLAM on Legged Robots.
ICRA
Hans Kumar, J. Joe Payne, Matthew J. Travers, Aaron M. Johnson, Howie Choset
2022 A conf
The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards.
IROS
J. Joe Payne, Nathan J. Kong, Aaron M. Johnson
2022 J jnl
The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards.
CoRR
J. Joe Payne, Nathan J. Kong, Aaron M. Johnson
2021 J jnl
The Salted Kalman Filter: Kalman filtering on hybrid dynamical systems.
Autom.
Nathan J. Kong, J. Joe Payne, George Council, Aaron M. Johnson
2020 J jnl
Mapping Distributions through Hybrid Dynamical Systems and its Application to Kalman Filtering.
CoRR
Nathan J. Kong, J. Joe Payne, George Council, Aaron M. Johnson