Wancong Zhang

Hierarchical JEPAs unlock efficient long-horizon visual planning by learning distinct latent spaces for different temporal scales, dramatically boosting success rates and reducing compute.

Achieving robust zero-shot sim-to-real transfer for quadrotors, this work redefines the boundaries of long-horizon prediction in robotic control.