Jimmy Yang — accepted AI-conference papers

2026

Cross-Embodiment Robot Foundation World Models with Latent Actions

Huang Huang, Sriram Yenamandra, Arjun Majumdar, Elie Aljalbout, Tushar Nagarajan, Jimmy Yang +6

ICML 2026poster

The diversity of robot embodiments and action spaces makes it challenging to build robot world models that generalize across different embodiments. We introduce a Latent Action Conditioned Robot World Model (LAC-WM), which operates within a learned unified latent action space shared across diverse e…

Cited by 0 Source ↗Scholar ↗

2023

USA-Net: Unified Semantic and Affordance Representations for Robot Memory

Ben Bolte, Austin Wang, Jimmy Yang, Mustafa Mukadam, Mrinal Kalakrishnan, Chris Paxton

IROS 2023poster

In order for robots to follow open-ended instructions like “go open the brown cabinet over the sink,” they require an understanding of both the scene geometry and the semantics of their environment. Robotic systems often handle these through separate pipelines, sometimes using very different represe…

Cited by 13 Source ↗Scholar ↗