Tag
sim-to-real
Sim-to-real focuses on transferring policies or models from simulation to real-world use while reducing the gap in dynamics, sensing, and control. It shows up in domain randomization, digital twins, synthetic trajectory generation, robot manipulation, and physics-based reasoning.
4 articles
Mana turns articulated tools into animation tasks
Mana reframes dexterous tool use as animation, enabling zero-shot sim-to-real manipulation of articulated tools.
MobileGym makes mobile GUI agents testable at scale
MobileGym adds deterministic judging and parallel rollouts for mobile GUI agent research.
Physics Simulators as RL Data for LLM Reasoning
Researchers train LLMs on synthetic physics from simulators and report zero-shot gains on IPhO problems, showing a new path beyond web QA data.
SIM1 turns sparse demos into deformable-world data
SIM1 grounds deformable-object simulation in real scenes, then scales sparse demos into synthetic training data for data-efficient robot policy learning.