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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068988
Abstract: Trajectory planning and tracking are the most important aspects of mobile robot research for industrial application. In this research, an intelligent hybrid control is presented to enhance the usability of mobile robots in environments cluttered…
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Keywords:
cluttered environments;
control;
intelligent hybrid;
robot ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163393
Abstract: This paper addresses the problem of navigating decentralized multi-agent systems in partially cluttered environments and proposes a new machine-learning-based approach to solve it. On the basis of this approach, a new robust and flexible Q-learning-based…
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Keywords:
space;
agent;
cluttered environments;
learning ... See more keywords
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Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3010455
Abstract: Online coverage planning can be useful in applications like field monitoring and search and rescue. Without prior information of the environment, achieving resolution-complete coverage considering the non-holonomic mobility constraints in commonly-used vehicles (e.g., wheeled robots)…
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Keywords:
cluttered environments;
coverage planning;
unknown obstacle;
obstacle cluttered ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3118091
Abstract: Recent works in aerial robotics show that the self-organized and cohesive flight of swarms can emerge from the exchange of purely local information between neighboring agents. However, most of the current swarm models are not…
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Keywords:
cluttered environments;
drone swarms;
predictive drone;
distributed predictive ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3187492
Abstract: This letter studies the safety control problem for mobile robots working in cluttered environments. A compact set is employed to represent the obstacles, and a direction-distance function is used to describe the obstacle-measurement model. The…
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Keywords:
safety;
safety control;
mobile robots;
cluttered environments ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3246844
Abstract: Model-free continuous control for robot navigation tasks using Deep Reinforcement Learning (DRL) that relies on noisy policies for exploration is sensitive to the density of rewards. In practice, robots are usually deployed in cluttered environments,…
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Keywords:
reinforcement learning;
deep reinforcement;
cluttered environments;
continuous control ... See more keywords
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Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3128964
Abstract: Device-free localization (DFL) enables several new applications in various sectors including smart cities, intelligent transportation, and public safety. DFL relies on a network of sensor radars that transmit, receive, and process reflected signals propagating in…
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Keywords:
free localization;
dfl;
cluttered environments;
multiple targets ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.48550/arxiv.2203.16599
Abstract: Sampling-based model predictive control (MPC) optimization methods, such as Model Predictive Path Integral (MPPI), have recently shown promising results in various robotic tasks. However, it might produce an infeasible trajectory when the distributions of all…
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Keywords:
cluttered environments;
log mppi;
control strategy;
unknown cluttered ... See more keywords