Overview:
Embodied AI, integrating AI into physical entities, enables robots to navigate and interact with the physical world with human-like perception and action. Meanwhile, generalist robots are designed to tackle a diverse range of tasks across multiple domains, embodying versatility and adaptability reminiscent of human capabilities. The capabilities of generalist robots are based on embodied AI technologies.
This research, with a primary focus on generalist robots, delves into the rising tide of interest and investment in these transformative technologies. Starting in 2024, embodied AI is poised to become one of the most valuable applications of AI.
Table of Content
- Section 1: Background
- Section 2: Key Components of Embodied AI
- Section 3: Three Technology Drivers
- The Advent of Generative AI
- The Rise of Multimodal AI
- The Building of the World Models
- Section 4: Data Sources of Embodied AI
- Section 5: Use Cases
- Optimus Gen 2: Tesla’s Vertically Integrated Bot
- Figure 01: OpenAI ChatGPT + Robot
- Google X-Embodiment: Cross-Embodiment Transfer
- NVIDIA Project GR00T
- Section 6: Top Three Impacted Industries
- Section 7: Major Challenges
- Section 8: Conclusion
Number of Pages: 26
Publication Date: July 2024