activity
20212026
most citedLearned Lifted Linearization Applied to Unstable Dynamic Systems Enabled by Koopman Direct Encoding

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Multi-Agent Reinforcement Learning for Autonomous UAV Exploration in Wildfire Response

Caden Chandra, Jerry Ng

This study develops a deep reinforcement learning framework for training Unmanned Aerial Vehicle (UAV) agents to navigate and monitor simulated wildfire environments. Results show…

cs.LG2023

Data-Driven Encoding: A New Numerical Method for Computation of the Koopman Operator

Jerry Ng, Haruhiko Harry Asada

This paper presents a data-driven method for constructing a Koopman linear model based on the Direct Encoding (DE) formula. The prevailing methods, Dynamic Mode Decomposition (DMD)…

cs.LG2022★ 3 cited

Learned Lifted Linearization Applied to Unstable Dynamic Systems Enabled by Koopman Direct Encoding

Jerry Ng, H. Harry Asada

This paper presents a Koopman lifting linearization method that is applicable to nonlinear dynamical systems having both stable and unstable regions. It is known that DMD and other…

cs.RO2022

HGI-SLAM: Loop Closure With Human and Geometric Importance Features

Shuhul Mujoo, Jerry Ng

We present Human and Geometric Importance SLAM (HGI-SLAM), a novel approach to loop closure using salient and geometric features. Loop closure is a key element of SLAM, with many e…

cs.SD2021

Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis

Nikhil Singh, Jeff Mentch, Jerry Ng +2

Measuring the acoustic characteristics of a space is often done by capturing its impulse response (IR), a representation of how a full-range stimulus sound excites it. This work ge…