In this episode, we want to talk about a very interesting robot-related technology. It's a fascinating experiment. Driven purely by visual data, the robot relies on LLM, VLM, and RAG to achieve autonomous understanding and action. Without GPS, NFC, or radar, it can execute voice commands after visual learning and training.

It is an advanced robotics technology called "remember" that NVIDIA is developing, which aims to give robots the ability to remember and understand the meaning of their experiences, similar to human memory. This technology involves using AI to create a detailed log of the robot's experience, so that it can understand the importance of its observations, not just visual data. The query system allows the robot to search for relevant information in its memory according to the user's query, such as locating items or suggesting places with beautiful vision.

The potential applications of Remember are very wide, including improving elderly care, search and rescue operations, and enhancing daily interactions by allowing robots to predict human needs.

Although the reliability, accuracy, and even moral problems of the technology are still very obvious, it does not prevent its interesting and shiny side.

The following is the reference link of this project:https://developer.nvidia.com/blog/using-generative-ai-to-enable-robots-to-reason-and-act-with-remembr/

Content by Wei Sun
Audio by Google
Music by Dopestuff @MelodyLoops
Download free music at https://www.melodyloops.com

Disclaimer:
This podcast is for informational purposes only. The technical content and market analysis shared here, including guest opinions, do not constitute professional or financial advice. We cannot guarantee accuracy or completeness of information. Listeners assume all risks from using our content. Consult professionals before making investment or technical decisions.

Contact: victor@nexture.nz