WSN Deployment and Localization Using a Mobile Agent
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4747-5
Abstract: To address the problem the sensors were typically deployed in fixed positions, but the robots can be used to calibrate, deploy and maintain the surrounding wireless sensor network (WSN) in disaster relief applications, a novel… read more here.
Keywords: wsn deployment; deployment localization; unknown environment; localization using ... See more keywords
Multi-AGV's Temporal Memory-Based RRT Exploration in Unknown Environment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3190628
Abstract: With the increasing need for multi-robot for exploring the unknown region in a challenging environment, efficient collaborative exploration strategies are needed for achieving such feat. A frontier-based Rapidly-Exploring Random Tree (RRT) exploration can be deployed… read more here.
Keywords: memory; rrt exploration; exploration; unknown environment ... See more keywords
Distributed Coverage Control of Mobile Sensor Networks in Unknown Environment Using Game Theory: Algorithms and Experiments
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2017.2761351
Abstract: This paper studies the coverage problem in an unknown environment by a Mobile Sensor Network (MSN). Each agent in the MSN has communication, sensing, moving, and computation capabilities to complete sensing tasks. These agents would… read more here.
Keywords: game; coverage; unknown environment; game theory ... See more keywords
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2927869
Abstract: This paper investigates the automatic exploration problem under the unknown environment, which is the key point of applying the robotic system to some social tasks. The solution to this problem via stacking decision rules is… read more here.
Keywords: unknown environment; reinforcement learning; learning based; deep reinforcement ... See more keywords
A Path-Planning Approach Based on Potential and Dynamic Q-Learning for Mobile Robots in Unknown Environment
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2540546
Abstract: The path-planning approach plays an important role in determining how long the mobile robots can travel. To solve the path-planning problem of mobile robots in an unknown environment, a potential and dynamic Q-learning (PDQL) approach… read more here.
Keywords: unknown environment; mobile robots; path; robots unknown ... See more keywords