MIT CSAIL explains physical AI: how robots are learning the real world
MIT_CSAIL · x · 2026-09-24
MIT CSAIL published an explainer video on "physical AI" — systems that help robots understand the real world, covering progress in perception, reasoning, and physical interaction.
The video also discusses where the field is heading, and the open question of when physical AI can enable robots to act reliably in open-ended environments.
More from Embodied
- GTSAM 4.3 ships with legged navigation, CUDA-accelerated factor graphs and continuous-time trajectory estimation — fdellaert · 2026-09-24
- Workbench open-sources an agentic lab workspace for hardware engineering on the Ambion kernel — andreisavu · 2026-09-24
- Hugging Face Tutorial: Accelerating Robotics Simulation with NVIDIA Warp and MjWarp — Hugging Face Blog · 2026-09-24
- Skild AI trains Unitree G1 to play soccer with 140 years of simulated self-play — Distinct-Question-16 · 2026-09-24
- Deepak Pathak: Earth's Only AGI Came From Billions of Years of Physical Self-Play, and Robots Will Scale It — deepakpathak · 2026-09-24
- How ACT works: a robot-learning primer on predicting 100 actions at once — DominiqueCAPaul · 2026-09-24