Teaching a Hugging Face Micro Duck to See and Walk with NVIDIA RTX Spark

Micro Duck, a Hugging Face robot, is taught to see and walk using an NVIDIA RTX Spark laptop with Hermes, Neotron, OpenAI GPT6 Astra, and CUDA-X accelerated tools. The workflow spans course planning, 3D asset creation, simulation, cloud-based training, policy evaluation, and deployment to the physical robot.

■ Planning and asset setup
- Course and object requirements planned with Hermes and Neotron on RTX Spark
- 3D modeling in FreeCAD, materials in Blender, and physical properties from Omniverse Sim Ready libraries

■ Simulation and training
- Scene composition and rigging in Isaac Sim
- Movement simulation with Newton Physics Engine
- Parallel policy training in Isaac Lab and camera-based perception simulation

■ Evaluation and deployment
- Policy download and evaluation on RTX Spark using Neotron and Isaac Sim
- Deployment of the validated policy to the physical Micro Duck

It is suited to viewers interested in robotics simulation, embodied AI, and accelerated AI-agent workflows. Viewers can learn the high-level pipeline from digital modeling and simulation to real-robot deployment and how RTX Spark, Isaac tools, and agent models fit into that process.