Adapting On The Fly: Real-World Skills From Sim

Research

Self-Modifying Policies for Robust Autonomy

A policy that can modify itself mid-task is a huge deal for autonomy. This could let robots adapt on the fly without constant supervision.

Learning from a Single Demonstration with Generative World Models

This paper tackles the huge data bottleneck for real-world skills. It's a smarter way to learn complex manipulation without needing millions of examples.

Bridging Sim-to-Real with Domain-Invariant Representations

Directly addresses the sim-to-real gap by learning robust features that transfer. This is the kind of practical work that makes simulation actually useful for builders.

News

NVIDIA's New Isaac Sim Calibrators for Real-World Transfer

NVIDIA's latest tools are focused on making sim more than just a developer sandbox. The new calibrators are built for production-grade transfer.

Events

ROSCon 2025: All the New Middleware and Hardware Talks

The community is gathering to talk shop. If you're building with ROS, this is where the latest tooling and integrations will be discussed.