NVIDIA outlines AI-agent workflow—Hermes and Nemotron 3.5 Bolt—with RTX Spark and Isaac Lab to train Microduck in simulation

KEY POINTS

1. NVIDIA describes a workflow using RTX Spark as a local development hub where AI agents (Hermes and Nemotron 3.5 Bolt) convert a prompt into a step-by-step project plan; Astra generates 3D assets; environments are assembled in NVIDIA Isaac Sim with Omniverse rendering and Newton physics; and NVIDIA Isaac Lab trains perception and locomotion policies at scale (4,096 parallel environments) on an RTX PRO 6000 Blackwell Workstation Edition GPU.
2. Trained policies are validated locally in Isaac Sim on RTX Spark before preparing for sim-to-real transfer using Better Actuator Models and domain randomization; SimReady Central Library and a Hugging Face Microduck tutorial are provided to accelerate adoption.
3. This shows an end-to-end, AI-assisted sim-to-real workflow combining generative/assistant models, asset creation, large-scale simulated RL training, and local validation—useful for robotics teams aiming to shorten the path from idea to physical deployment.