Embodied Artificial Intelligence: Trends and Challenges

By Rolf Pfeifer, Fumiya Iida. 2003

120 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Social Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Cheston Tan

Citations in the corpus

• A Survey of Embodied AI: From Simulators to Research Tasks (2021, background): “While there have been several survey papers in the field of embodied AI [1, 12, 2], they are mostly outdated as they were published before the modern deep learning era, which started around 2009 [13, 14, 15, 16, 8].”
• Aligning Cyber Space With Physical World: A Comprehensive Survey on Embodied AI (2024, unknown): “In addition, recent developments in embodied robots and simulators are also overlooked.”
• STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning (2025, unknown): “Despite recent advances in Artificial Intelligence (AI) systems powered by Large Language Models (LLMs), such as open-world games [1], dialogue systems [2], and personalized recommendation systems [3], there remain significant challenges in their applications to embodied intelligence [4, 5].”