Chris Feng — Robotics
Building a compounding data engine for physical AI using crowdsourced human trajectories, simulation, and human-in-the-loop feedback to train robotic manipulation models.
Building a compounding data engine for physical AI using crowdsourced human trajectories, simulation, and human-in-the-loop feedback to train robotic manipulation models.
Advancing behavioral evaluation and assurance for AI & AGI agents while building a robotics division.
Building a decentralized spatial intelligence network where contributors map the physical world to provide real-world ground truth data for training physic
Building AI computer vision platform for real-time hazard detection and crane automation in waste-to-energy plants.































