72 citations · 188 across the 36 of their papers we have counts for
9 papers · 1 filter
Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking
Su-Jin Lee, Soon-Seo Park, Han-Lim Choi
This paper presents a potential game-based method for non-myopic planning of mobile sensor networks in the context of target tracking. The planning objective is to select the seque…
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics
Young-Jin Park, Han-Lim Choi
The goal of system identification is to learn about underlying physics dynamics behind the time-series data. To model the probabilistic and nonparametric dynamics model, Gaussian p…
Sampling-Based Tour Generation of Arbitrarily Oriented Dubins Sensor Platforms
Doo-Hyun Cho, Dae-Sung Jang, Han-Lim Choi
This paper describes a formulation and develops a novel procedure for a fleet of unmanned aerial vehicles (UAVs) from the perspective of remotely executable tasks. In a complex mis…
Memetic Algorithm-Based Path Generation for Multiple Dubins Vehicles Performing Remote Tasks
Doo-Hyun Cho, Han-Lim Choi
This paper formalizes path planning problem for a group of heterogeneous Dubins vehicles performing tasks in a remote fashion and develops a memetic algorithm-based method to effec…
A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking
Soon-Seo Park, Youngjae Min, Jung-Su Ha +2
This paper investigates non-myopic path planning of mobile sensors for multi-target tracking. Such problem has posed a high computational complexity issue and/or the necessity of h…
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems
Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae +2
We present a representation learning algorithm that learns a low-dimensional latent dynamical system from high-dimensional \textit{sequential} raw data, e.g., video. The framework…