Isaac Lab

The 'Isaac Lab' is a simulation environment that contains parallel environments for training reinforcement learning policies, specifically designed to evaluate energy-efficient actuation strategies for hybrid aerial-ground robots navigating stair-like terrain.

Papers using Isaac Lab (6)

Unleashing the Agility of Wheeled-Legged Robots for High-Dynamic Reflexive Obstacle Evasion2026FAR-Dex: Few-shot Data Augmentation and Adaptive Residual Policy Refinement for Dexterous Manipulation2026Partial Motion Imitation for Learning Cart Pushing with Legged Manipulators2026Learning Energy-Efficient Air--Ground Actuation for Hybrid Robots on Stair-Like Terrain2026Data-efficient Multitask Dagger2025NaVILA: Legged Robot Vision-Language-Action Model for Navigation2024 · 2 cites