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Joint failures can disrupt gait coordination, velocity tracking, and body stability in quadruped robots by reducing the available control authority. This study investigates faults in which joints remain locked at fixed angles and presents Adjudicate Reconfiguration and Evolving Regularization Meta Reinforcement Learnin...
The widespread integration of IoT sensing in intelligent campus environments creates a strong demand for behavior recognition systems that are both reliable in crowded, rapidly changing scenes and efficient enough for real-time deployment. However, conventional video-centric approaches often struggle to capture cross-m...
This review examines AI-driven locomotion, including reinforcement learning, non-RL machine-learning methods, model-based approaches, and hybrid strategies, with attention to robustness, sim-to-real transfer, sensor use, computational requirements, and hardware validation, and summarizes AI-supported advanced behaviors...
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