Gym-Anything for Robotics uses coding agents to mass-generate realistic robot simulations

wellecks · x · 2026-11-05

• New paper Gym-Anything for Robotics by Pranjal Aggarwal and Sean Welleck: coding agents create robotics simulation environments.
• Core insight: simulation creation is a coding-agent task, so improvements in coding agents translate directly into richer, more faithful simulations.
• Motivation: realistic, fast simulations could enable large-scale embodied AI training that transfers to the real world, but existing sims cover only a narrow slice of tasks and physics, and expert-built simulation doesn't scale.
• Method: simulations are selected via U.S. GDP data to cover economically valuable physical work; the authors define what makes a good simulation and task, and run an adversarial creation-audit loop to check each one.

Original post →

More from Embodied

• KAIST's H2RB transfers human demonstrations to robots, boosting object transfer from 8.0 to 51.8 — kaist-ai · 2026-11-05
• New AI glasses UI concept demo shows off futuristic interface design — AnhPhuNguyen1 · 2026-11-05
• Berkeley project uses pretrained base policy's support to guide exploration for fast online adaptation — abhishekunique7 · 2026-11-05
• "Robotics simulation platform" startups are a dead end — agents already removed the need — carlosdponx · 2026-11-05
• Runtime (YC F26) debuts simulation-to-real robot policies, threads a rope with no fine-tuning — ycombinator · 2026-11-05
• Rooms3d turns Vision Pro room scans into permanent 3D dioramas for $9.99, one-time purchase — Scobleizer · 2026-11-05

Embodied channel →