Nathan J. Kong

Orcid: 0000-0001-5526-0633

According to our database1, Nathan J. Kong authored at least 13 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Saltation Matrices: The Essential Tool for Linearizing Hybrid Dynamical Systems.
Proc. IEEE, June, 2024

Hybrid Iterative Linear Quadratic Estimation: Optimal Estimation for Hybrid Systems.
CoRR, 2024

2023
Hybrid iLQR Model Predictive Control for Contact Implicit Stabilization on Legged Robots.
IEEE Trans. Robotics, December, 2023

2022
Hybrid iLQR Model Predictive Control for Contact Implicit Stabilization on Legged Robots.
CoRR, 2022

The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Hybrid Event Shaping to Stabilize Periodic Hybrid Orbits.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
The Salted Kalman Filter: Kalman filtering on hybrid dynamical systems.
Autom., 2021

iLQR for Piecewise-Smooth Hybrid Dynamical Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Mapping Distributions through Hybrid Dynamical Systems and its Application to Kalman Filtering.
CoRR, 2020

2019
Conditions for reliable grip force and jaw angle estimation of da Vinci surgical tools.
Int. J. Comput. Assist. Radiol. Surg., 2019

Optimally Convergent Trajectories for Navigation.
Proceedings of the Robotics Research, 2019

2018
Blended shared control utilizing online identification.
Int. J. Comput. Assist. Radiol. Surg., 2018

Da Vinci tool torque mapping over 50, 000 grasps and its implications on grip force estimation accuracy.
Proceedings of the International Symposium on Medical Robotics, 2018


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