Topic: Recent Advances in Embodied Artificial Intelligence

Recently, embodied artificial intelligence (EAI) has emerged as a transformative paradigm in artificial intelligence (AI) research. The advancements in this field are characterized by a concerted effort to integrate perception, action, and environmental interaction within intelligent systems. Leveraging cutting-edge technologies and interdisciplinary insights, researchers are pushing the boundaries of what is achievable in creating adaptive and autonomous agents capable of navigating and learning from complex real-world environments. This progress heralds a new era in AI, wherein machines not only perceive and react but truly understand and interact with their surroundings in ways that mirror human cognition. For instance, in autonomous driving, EAI entails designing vehicles that not only passively perceive their surroundings through advanced sensors, such as LIDARs, RADARs, and cameras, but also actively respond to dynamic traffic situations, pedestrians, and unforeseen events. These intelligent agents rely on their environmental understanding to make decisions, ensuring both safety and efficiency in their interactions with other road users. Similarly, service robots equipped with EAI can adeptly navigate through homes or public spaces, comprehend natural language commands, and engage in nuanced interactions with objects and humans alike.

Research papers are solicited in, but not limited to, the following topics:
• Bio-inspired robotics;
• Embodied computer vision for robotics;
• Embodied natural language processing for robotics;
• Open-ended evolution;
• Embodied robot learning.

Embodied artificial intelligence, perception, action, environmental interaction, intelligent systems, autonomous agents

31 Dec 2024