A survey of prototype and experiment for UAV communications
Unmanned aerial vehicle (UAV) communications have attracted significant attention from
both academia and industry. To facilitate the large-scale usage of UAVs for various …
both academia and industry. To facilitate the large-scale usage of UAVs for various …
AUV-aided localization for Internet of Underwater Things: A reinforcement-learning-based method
Localization is a critical issue for many location-based applications in the Internet of
Underwater Things (IoUT). Nevertheless, the asynchronous time clock, stratification effect …
Underwater Things (IoUT). Nevertheless, the asynchronous time clock, stratification effect …
Integrated localization and tracking for AUV with model uncertainties via scalable sampling-based reinforcement learning approach
This article studies the joint localization and tracking issue for the autonomous underwater
vehicle (AUV), with the constraints of asynchronous time clock in cyberchannels and model …
vehicle (AUV), with the constraints of asynchronous time clock in cyberchannels and model …
Active sensing for search and tracking: A review
Active Position Estimation (APE) is the task of localizing one or more targets using one or
more sensing platforms. APE is a key task for search and rescue missions, wildlife …
more sensing platforms. APE is a key task for search and rescue missions, wildlife …
Adaptive optimal control for stochastic multiplayer differential games using on-policy and off-policy reinforcement learning
Control-theoretic differential games have been used to solve optimal control problems in
multiplayer systems. Most existing studies on differential games either assume deterministic …
multiplayer systems. Most existing studies on differential games either assume deterministic …
Integral reinforcement learning-based multi-robot minimum time-energy path planning subject to collision avoidance and unknown environmental disturbances
In this letter, we study the online multi-robot minimum time-energy path planning problem
subject to collision avoidance and input constraints in an unknown environment. We …
subject to collision avoidance and input constraints in an unknown environment. We …
Reinforcement learning for cyber-physical systems
Cyber-Physical Systems (CPS), including smart industrial manufacturing, smart
transportation, and smart grids, among others, are envisioned to convert traditionally …
transportation, and smart grids, among others, are envisioned to convert traditionally …
Toward uav-based airborne computing
In recent years, we have witnessed the significant growth of interest in using unmanned
aerial vehicles (UAVs) to facilitate civilian and commercial applications. To design future …
aerial vehicles (UAVs) to facilitate civilian and commercial applications. To design future …
Integral reinforcement learning‐based approximate minimum time‐energy path planning in an unknown environment
Path planning is a fundamental and critical task in many robotic applications. For energy‐
constrained robot platforms, path planning solutions are desired with minimum time arrivals …
constrained robot platforms, path planning solutions are desired with minimum time arrivals …
Coding for heterogeneous uav-based networked airborne computing
Considering the limited computing and storage capacities of a single unmanned aerial
vehicle (UAV) with small payload, most existing small UAV-based applications execute …
vehicle (UAV) with small payload, most existing small UAV-based applications execute …