Nathan Kong

Carnegie Mellon University

H-index: 7

North America-United States

About Nathan Kong

Nathan Kong, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Trajectory Optimization, State Estimation, Hybrid Dynamical Systems, Legged Locomotion, Surgical Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hybrid iLQR model predictive control for contact implicit stabilization on legged robots

Saltation matrices: The essential tool for linearizing hybrid dynamical systems

The uncertainty aware salted kalman filter: State estimation for hybrid systems with uncertain guards

Hybrid event shaping to stabilize periodic hybrid orbits

Increasing Reliability of Legged Robots in the Presence of Uncertainty

iLQR for piecewise-smooth hybrid dynamical systems

The Salted Kalman Filter: Kalman filtering on hybrid dynamical systems

Nathan Kong Information

University	Carnegie Mellon University
Position	___
Citations(all)	105
Citations(since 2020)	101
Cited By	29
hIndex(all)	7
hIndex(since 2020)	7
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Carnegie Mellon University
Google Scholar	View Google Scholar Profile

Nathan Kong Skills & Research Interests

Trajectory Optimization

State Estimation

Hybrid Dynamical Systems

Legged Locomotion

Surgical Robotics