Robots, control systems and industrial or physical automation.
Learning Physical AI: Free Course (reBot Arm + NVIDIA Isaac)
10d ago · English audio
If you want to get started with physical AI and robotics, this is the place to start. In this new series I'm working through "Learning Physical AI: A Sim-to-Real VLA Pipeline with Seeed reBot Arm and NVIDIA Isaac", a hands-on course built by Seeed Studio and NVIDIA. In this series we'll go from unboxing a robot arm all the way to collecting data, training a GR00T VLA model in simulation and the real world, and…
Back to Engineering
Physical AI and robotics explained honestly, built imperfectly, from scratch. I make structured, technical content for engineers and AI practitioners entering the hardware world. The series goes from microcontrollers all the way to full Physical AI deployment on edge GPUs. Data science graduate (honors), former Cloud Architect at Microsoft, conference keynote speaker. I bring robots on stage.…
Outlier score
This score was measured on Sun, 25 Oct 2026 20:19:29 GMT. Current view counts may differ.
212.1K views ÷ a 8.6K baseline = 24.7×. Compared with 10 earlier videos from the same channel, matching the format recorded at scoring time. Older-upload baseline: reference videos had at least as long to gain views. This comparison is not age-matched.
YouTube snapshot: Sun, 25 Oct 2026 22:33:56 GMT. Counters may have changed.
Read the methodologyGenerative AI & Agents
Channel-balanced percentile: 100
Comparison details
70 videos from 43 other channels, with each channel weighted equally. Same format and language, with 10,000–99,999 subscribers. Observed at 249 hours after publication, within ±48 hours.
This describes the collected sample, not all of YouTube. Updated Sun, 25 Oct 2026 22:46:31 GMT.
Niches & tags
Generative models, prompting, agents and AI tool capabilities.
Transcripts and detailed analytics are available for recent outlier Shorts up to three minutes. Research tools