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A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang   +3 more
wiley   +1 more source
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Hyper-Redundant Manipulators for Operations in Confined Space: Typical Applications, Key Technologies, and Grand Challenges

IEEE Transactions on Aerospace and Electronic Systems, 2022
In this article, we review the state of the art in hyper-redundant manipulators for applications in confined space such as on-orbit services. With their multiple degrees of freedom and slender links, hyper-redundant manipulators can offer superior ...
Zonggao Mu   +6 more
semanticscholar   +3 more sources

Manipulability Analysis for Cable-Driven Hyper-Redundant Manipulators

2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), 2021
Cable-driven hyper-redundant manipulators (CDHMs) have been widely applied in aerospace, surgery, or other fields to complete tasks in narrow and multi-obstacles environments. Maneuverability is an important metric for CDHMs and is more difficult to analyze than traditional industrial robots because of their more complicated kinematics.
Haoqiang Yang   +5 more
openaire   +2 more sources

Tendon-Driven Hyper-Redundant Manipulators: A Review on Design Solutions

IEEE/ASME Transactions on Mechatronics
Due to their uniqueness, hyper-redundant manipulators are becoming increasingly relevant in robotics research. The abundance of degrees of freedom makes them adaptable to a variety of applications across various fields, including inspection, medical ...
Federico Manara   +7 more
semanticscholar   +3 more sources

E-RRT*: Path Planning for Hyper-Redundant Manipulators

IEEE Robotics and Automation Letters, 2023
A hyper-redundant manipulator(HRM) can flexibly accomplish tasks in narrow spaces. However, its excessive degrees of freedom pose challenges for path planning.
Hongcheng Ji   +3 more
openaire   +2 more sources

Alternative Solutions to Tendon-Driven Hyper-Redundant Manipulators: A Review on Design and Actuation Strategies

IEEE/ASME Transactions on Mechatronics
Due to their distinctiveness and potential uses, hyper-redundant manipulators are becoming increasingly relevant in robotics research. The high number of degrees of freedom makes them suitable for various applications across various fields, including ...
Ardit Poka   +7 more
semanticscholar   +3 more sources

A Segmented Geometry Method for Kinematics and Configuration Planning of Spatial Hyper-Redundant Manipulators

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
With many degrees of freedom (DOFs), a hyper-redundant manipulator has superior dexterity and flexible manipulation ability. However, its inverse kinematics and configuration planning are very challenging.
Zonggao Mu   +4 more
semanticscholar   +3 more sources

A Variable-Stiffness Planning Method Considering Both the Overall Configuration and Cable Tension for Hyper-Redundant Manipulators

IEEE/ASME Transactions on Mechatronics
In order to realize the flexible capture of noncooperative targets, a variable-stiffness planning method considering both the overall configuration and cable tension for a hyper-redundant manipulator is proposed in this article.
Luyang Zhang   +5 more
semanticscholar   +3 more sources

A Geometric Approach to Inverse Kinematics of Hyper-Redundant Manipulators for tokamaks maintenance

Mechanism and Machine Theory, 2022
C. Lauretti   +4 more
semanticscholar   +3 more sources

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