J. Joe Payne

According to our database, J. Joe Payne authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Saltation Matrices: The Essential Tool for Linearizing Hybrid Dynamical Systems.

Nathan J. Kong, J. Joe Payne, James Zhu, Aaron M. Johnson

Proc. IEEE, June, 2024

Hybrid Iterative Linear Quadratic Estimation: Optimal Estimation for Hybrid Systems.

J. Joe Payne, James Zhu, Nathan J. Kong, Aaron M. Johnson

CoRR, 2024

Double-Anonymous Review for Robotics.

Justin K. Yim, Paul Nadan, James Zhu, Alexandra Stutt, J. Joe Payne, Catherine Pavlov, Aaron M. Johnson

CoRR, 2024

Convergent iLQR for Safe Trajectory Planning and Control of Legged Robots.

James Zhu, J. Joe Payne, Aaron M. Johnson

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022

The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards.

J. Joe Payne, Nathan J. Kong, Aaron M. Johnson

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Periodic SLAM: Using Cyclic Constraints to Improve the Performance of Visual-Inertial SLAM on Legged Robots.

Hans Kumar, J. Joe Payne, Matthew J. Travers, Aaron M. Johnson, Howie Choset

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

The Salted Kalman Filter: Kalman filtering on hybrid dynamical systems.

Nathan J. Kong, J. Joe Payne, George Council, Aaron M. Johnson

Autom., 2021

2020

Mapping Distributions through Hybrid Dynamical Systems and its Application to Kalman Filtering.

Nathan J. Kong, J. Joe Payne, George Council, Aaron M. Johnson

CoRR, 2020