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09/16/2022
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers
In multirotor systems, guaranteeing safety while considering unknown dis...
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09/16/2022
DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory
Occupancy mapping has been widely utilized to represent the surroundings...
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11/16/2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning
We present a hierarchical planning and control framework that enables an...
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09/27/2020
Resilient Networking in Formation Flying UAVs
The threats on cyber-physical system have changed much into a level of s...
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04/21/2020
A Neural Process Approach for Probabilistic Reconstruction of No-Data Gaps in Lunar Digital Elevation Maps
With the advent of NASA's lunar reconnaissance orbiter (LRO), a large am...
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09/24/2019
Informative Planning of Mobile Sensor Networks in GPS-Denied Environments
This paper considers the problem to plan mobile sensor networks for targ...
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03/14/2019
Online Gaussian Process State-Space Models: Learning and Planning for Partially Observable Dynamical Systems
Gaussian process state-space model (GPSSM) is a probabilistic dynamical ...
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09/19/2018
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics
The goal of system identification is to learn about underlying physics d...
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08/09/2018
Sampling-Based Tour Generation of Arbitrarily Oriented Dubins Sensor Platforms
This paper describes a formulation and develops a novel procedure for a ...
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08/08/2018
Memetic Algorithm-Based Path Generation for Multiple Dubins Vehicles Performing Remote Tasks
This paper formalizes path planning problem for a group of heterogeneous...
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07/29/2018
A Distributed ADMM Approach to Informative Trajectory Planning for Multi-Target Tracking
This paper presents a distributed optimization method for informative tr...
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07/05/2018
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems
We present a representation learning algorithm that learns a low-dimensi...
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07/05/2018
Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems
We present a representation learning algorithm that learns a low-dimensi...
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06/21/2018
Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization
This paper proposes a Bayesian framework for localization of multiple so...
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06/13/2018
Partial Replanning for Decentralized Dynamic Task Allocation
In time-sensitive and dynamic missions, multi-UAV teams must respond qui...
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03/26/2018
Min-Max Tours for Task Allocation to Heterogeneous Agents
We consider a scenario consisting of a set of heterogeneous mobile agent...
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11/22/2017
High-dimensional Motion Planning using Latent Variable Models via Approximate Inference
In this work, we present an efficient framework to generate a motion tra...
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11/24/2016