Asier Arranz

Asier Arranz combines applied research and Physical AI, working alongside makers, builders, students, and researchers. His work spans GPU-accelerated simulation, robot learning, and agentic AI at the edge, using NVIDIA Isaac Sim, Isaac Lab, Newton, GR00T, and Jetson. Through practical demos and workshops, he shares what he learns and helps others turn emerging AI capabilities into reproducible robotics workflows, including automation with reusable agent skills. Before NVIDIA, he worked on quantum computing at IBM Research. He is also passionate about virtual reality and astronomy, driven by curiosity and a love of experimenting with new ideas.