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Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact
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Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact

Farroni, Flavio ; Genovese, Andrea ; Sakhnevych, Aleksandr

Applied sciences, 2022-02, Vol.12 (4), p.2034 [Periódico revisado por pares]

Basel: MDPI AG

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Cooperative Fault-Tolerant Formation Tracking Control for Heterogeneous Air-Ground Systems Using a Learning-Based Method
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Cooperative Fault-Tolerant Formation Tracking Control for Heterogeneous Air-Ground Systems Using a Learning-Based Method

Shi, Yu ; Hua, Yongzhao ; Yu, Jianglong ; Dong, Xiwang ; Lu, Jinhu ; Ren, Zhang

IEEE transactions on aerospace and electronic systems, 2024-04, Vol.60 (2), p.1505-1518 [Periódico revisado por pares]

New York: IEEE

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Heterogeneous Multi-Robot Collaboration for Coverage Path Planning in Partially Known Dynamic Environments
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Heterogeneous Multi-Robot Collaboration for Coverage Path Planning in Partially Known Dynamic Environments

de Castro, Gabriel G. R ; Santos, Tatiana M. B ; Andrade, Fabio A. A ; Lima, José ; Haddad, Diego B ; Honório, Leonardo de M ; Pinto, Milena F

Machines (Basel), 2024-03, Vol.12 (3), p.200 [Periódico revisado por pares]

Basel: MDPI AG

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Synthetic Deep Neural Network Design for Lidar-inertial Odometry Based on CNN and LSTM
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Synthetic Deep Neural Network Design for Lidar-inertial Odometry Based on CNN and LSTM

Son, Hyunjin ; Lee, Byungjin ; Sung, Sangkyung

International Journal of Control, 2021, Automation, and Systems, 19(8), , pp.2859-2868

Bucheon / Seoul: Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers

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5
Real-Time Visual Recognition of Ramp Hand Signals for UAS Ground Operations
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Real-Time Visual Recognition of Ramp Hand Signals for UAS Ground Operations

de Frutos Carro, Miguel Ángel ; LópezHernández, Fernando Carlos ; Granados, José Javier Rainer

Journal of intelligent & robotic systems, 2023-03, Vol.107 (3), p.44, Article 44 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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6
Deep Reinforcement Learning for Autonomous Dynamic Skid Steer Vehicle Trajectory Tracking
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Deep Reinforcement Learning for Autonomous Dynamic Skid Steer Vehicle Trajectory Tracking

Srikonda, Sandeep ; Norris, William Robert ; Nottage, Dustin ; Soylemezoglu, Ahmet

Robotics (Basel), 2022-10, Vol.11 (5), p.95 [Periódico revisado por pares]

Basel: MDPI AG

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Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles
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Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles

Lu, Yang ; Li, Wenzhang ; Zhang, Xinglong ; Xu, Xin

Optimal control applications & methods, 2023-05, Vol.44 (3), p.1129-1147 [Periódico revisado por pares]

Glasgow: Wiley Subscription Services, Inc

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8
Reinforcement Learning-Based Resource Allocation for Coverage Continuity in High Dynamic UAV Communication Networks
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Reinforcement Learning-Based Resource Allocation for Coverage Continuity in High Dynamic UAV Communication Networks

Li, Jiandong ; Zhou, Chengyi ; Liu, Junyu ; Sheng, Min ; Zhao, Nan ; Su, Yu

IEEE transactions on wireless communications, 2024-02, Vol.23 (2), p.848-860 [Periódico revisado por pares]

New York: IEEE

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Ground Risk Assessment for Unmanned Aircraft Systems Based on Dynamic Model
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Ground Risk Assessment for Unmanned Aircraft Systems Based on Dynamic Model

Jiao, Qingyu ; Liu, Yansi ; Zheng, Zhigang ; Sun, Linshi ; Bai, Yiqin ; Zhang, Zhengjuan ; Sun, Longni ; Ren, Gaosheng ; Zhou, Guangyu ; Chen, Xinfeng ; Yan, Yan

Drones (Basel), 2022-11, Vol.6 (11), p.324 [Periódico revisado por pares]

Basel: MDPI AG

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10
Dynamic Telemetry and Deep Neural Networks for Anomaly Detection in 6G Software-Defined Networks
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Dynamic Telemetry and Deep Neural Networks for Anomaly Detection in 6G Software-Defined Networks

Rzym, Grzegorz ; Masny, Amadeusz ; Chołda, Piotr

Electronics (Basel), 2024-01, Vol.13 (2), p.382 [Periódico revisado por pares]

Basel: MDPI AG

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