PAIgent

Within the scope of this project, we aim to develop a platform where users can upload models of their robots or mechanical systems. Certain participants within this ecosystem will have the capability to create Physical AI agents tailored to specific conditions. Additionally, we seek to provide users with the opportunity to launch an early-stage investment round and tokenize their robots on the platform.

We utilized Isaac Sim as a Trusted Execution Environment (TEE) to select our robot and deployed our contracts on Base and Arbitrum, creating a more decentralized system. Our vision is to develop a platform where users can upload models of their robots or mechanical systems, allowing certain participants to create Physical AI agents tailored to specific conditions. Additionally, we aim to introduce an early-stage investment mechanism and tokenize robots on the platform to enhance funding opportunities in AI-driven automation. Looking ahead, we plan to enable algorithm execution within the application, particularly for reinforcement learning (RL) algorithms, which produce highly variable outputs and are susceptible to data manipulation. To enhance data security and privacy, we are considering the integration of Fully Homomorphic Encryption (FHE) or Zero-Knowledge (ZK) proofs, enabling contributors to run their algorithms without directly exposing their data, thus ensuring a secure and trustless environment.