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Embodied AI 101

Embodied AI 101

By: Shaoqing Tan
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Stay in the loop on research in AI and physical intelligence.© 2026 Shaoqing Tan Science
Episodes
  • PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning

    PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning
    Jun 29 2026
    Introduces PoLAR, a method that factorizes latent action representations into extent and mode components to improve robot policy learning efficiency and generalization.
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    13 mins
  • Continual Robot Policy Learning via Variational Neural Dynamics

    Continual Robot Policy Learning via Variational Neural Dynamics
    Jun 29 2026
    Proposes a variational neural dynamics framework for continual robot policy learning, enabling robots to acquire new skills without forgetting previously learned ones.
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    33 mins
  • PhysisForcing: Physics-Reinforced World Models for Robotic Manipulation

    PhysisForcing: Physics-Reinforced World Models for Robotic Manipulation
    Jun 29 2026
    Plug-and-play training framework that enforces physical plausibility in robotic video generation models, achieving SOTA on R-Bench, PAI-Bench, and EZS-Bench. Lifts WorldArena success rate from 16% to 24% with zero extra inference cost.
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    24 mins
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