From Perception to Action: Building Efficient and Deployable Robot Intelligence Pipelines with Open-Source Edge AI Toolkits

Robotic manipulation has become a key application of embodied AI, but many research pipelines remain difficult to reproduce and deploy in real-world systems. This tutorial presents an end-to-end, open-source workflow for building efficient robot intelligence pipelines, covering data collection, visuomotor policy training, simulation, and deployment on edge hardware. It introduces practical techniques such as teleoperated data acquisition, diffusion- and transformer-based policies, and neural object cloning for simulation-ready assets. The tutorial further emphasizes model optimization and real-time deployment, culminating in a live demonstration of a complete perception-to-action pipeline on an affordable robotic platform.