Generalist robot policies must operate across diverse tasks, embodiments, and environments, requiring scalable, repeatable simulation-based evaluation. Setting up large-scale policy evaluations is tedious and manual. Without a systematic approach, developers need to build high-overhead custom infrastructure, yet task libraries remain limited in complexity and diversity. This post introduces NVIDIA Isaac Lab-Arena, an open source framework … Continue reading Simplify Generalist Robot Policy Evaluation in Simulation with NVIDIA Isaac Lab-Arena