Open Source Robotics
Rethinking the Efficiency Bottlenecks of Generative Robotic Manipulation
Date, time, and room will be added once confirmed.
Talk overview
This talk examines two major barriers to deploying generative embodied AI on real robots: redundant multi-view sensory data and the complexity of large embodied models. It presents compression methods for 3D/4D Gaussian Splatting and device-conditioned once-for-all model compression to reduce storage, communication, training, and inference costs.
