Structured 4D Latent Predictive Model for Robot Planning
Video predictive models are emerging as a powerful paradigm in robotics, offering a promising path toward task generalization, long-horizon planning, and flexible decision-making. However, prevailing approaches often operate on 2D video sequences, inherently lacking the 3D geometric understanding necessary for precise spatial reasoning and physical consistency. We introduce a Structured 4D Latent Predictive Model, which predicts the evolution of a scene's 3D structure in a structured latent space conditioned on observations and textual instructions. Our representation encodes the scene holisti
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via arxiv author · 85%Zhiyi Li →
“Structured 4D Latent Predictive Model for Robot Planning”
- LinkedLinked via arxiv author · 85%Peilin Wu →
“Structured 4D Latent Predictive Model for Robot Planning”
- LinkedLinked via arxiv author · 85%Xiaoshen Han →
“Structured 4D Latent Predictive Model for Robot Planning”
- LinkedLinked via arxiv author · 85%Ruojin Cai →
“Structured 4D Latent Predictive Model for Robot Planning”
- LinkedLinked via arxiv author · 85%Yilun Du →
“Structured 4D Latent Predictive Model for Robot Planning”