As embodied AI evolves, enabling agents to seamlessly operate in real-world, dynamic environments requires addressing complex challenges in perception, adaptation, and interaction. Unlike traditional AI models, embodied agents engage with physical spaces, necessitating resilient sensory processing and context-aware decision-making. This workshop seeks to advance these capabilities, focusing on perception-action loops and adaptive strategies that empower AI systems to handle unpredictable environments. 

Our aim is to bring together experts from robotics, multi-agent systems, and cognitive science to discuss foundational research and applications in areas like autonomous systems and collaborative robotics. By fostering cross-disciplinary insights, the workshop will spotlight innovations that accelerate embodied AI's practical impact.