Development of Self-Evolutionary Embodied AGI Platform through Real-World Experience

Research on developing artificial general intelligence through embodied interaction with the physical world.

Project Period

2025.04 - 2029.12

Participating Organizations

KIST, Yonsei Univ, KRM

Project Budget

KRW

Managing Agency

IITP

Research Objectives

Research Objectives

This research aims to enhance artificial intelligence's generalization capabilities through interaction with the physical world. We seek to build theoretical foundations and conduct experimental validation using robots.

Key Research Areas

Key Research Areas

1. Learning through physical interaction 2. Building theoretical foundations for generalized intelligence 3. Developing robotic systems for experimental validation 4. Research on human-robot interaction

Expected Impact

Through this research, we expect to enhance AI's generalization capabilities and validate its applicability in the real physical world. Additionally, we aim to present a new paradigm for human-robot interaction.