Intelligent Autonomous

Intelligent autonomous systems aim to create machines capable of independent perception, decision-making, and action in complex, dynamic environments. Current research emphasizes developing robust world models, often leveraging visual-language models and energy-based architectures like hierarchical joint embedding predictive architectures (H-JEPA), to enable tasks such as navigation, object manipulation, and human-robot collaboration. This field is crucial for advancing robotics, aerospace, and other domains, requiring concurrent development of both sophisticated algorithms and appropriate legal and ethical frameworks to ensure safe and responsible deployment.