GAN-Based Robust Motion Planning for Mobile Robots Against Localization Attacks

Author:

Tang Wenbing1ORCID,Zhou Yuan2ORCID,Sun Haiying1,Zhang Yuhong3,Liu Yang4ORCID,Ding Zuohua4ORCID,Liu Jing1ORCID,He Jifeng1

Affiliation:

1. Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore

3. Huawei Technology, Shanghai, China

4. School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China

Funder

National Key Research and Development

National Natural Science Foundation of China

Fundamental Research Funds for Central Universities

Academic Research Fund Tier 2 Ministry of Education in Singapore

Zhejiang Provincial Key Research and the Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference26 articles.

1. Software-based realtime recovery from sensor attacks on robotic vehicles;choi;Proc Int Symp Res Attacks Intrusions Defenses,0

2. Secure Pose Estimation for Autonomous Vehicles under Cyber Attacks

3. An introduction and literature review of fuzzy logic applications for robot motion planning;yanik;Proc ASEE Southeast Sect Conf,0

4. A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems

5. WALNUT: Waging Doubt on the Integrity of MEMS Accelerometers with Acoustic Injection Attacks

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1. Causal deconfounding deep reinforcement learning for mobile robot motion planning;Knowledge-Based Systems;2024-11

2. Robust Motion Planning for Multi-Robot Systems Against Position Deception Attacks;IEEE Transactions on Information Forensics and Security;2024

3. Haptic Dataset Augmentation with Subjective QoE Labels using Conditional Generative Adversarial Network;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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