TARS Robotics unveils embodied foundation model AWE: 15+ tasks, one model, zero retraining
heyshrutimishra · x · 2026-09-11
Robotics company TARS Robotics introduces its embodied-native foundation model, AI World Engine (AWE), built around physical intuition rather than canned trajectories: 15+ real-world tasks across domains, one foundation model, zero task-specific retraining, with adaptive force control and deformable manipulation. Skills reportedly remain useful even when objects, materials, or surroundings change — the poster highlights the per-moment decisions (when to pull, where to apply pressure, how to leverage gravity and tools) as the key to translating human instinct into robots.
Related event: TARS Robotics Unveils Embodied Foundation Model AWE(2 posts)→
More from Embodied
- OpenTac tactile sensing project to be showcased at CoRL — _krishna_murthy · 2026-10-28
- Hybrid LLM agent scores 83.2%, beats nine VLA policies on new SO-101 robot arm benchmark — Truman Hickok · 2026-10-28
- cixliv: robot fighting may be the first realized market where bots beat average humans — cixliv · 2026-10-28
- Can the Hiwonder MentorPi T1 run fully offline as a robot pet? Pi 5 questioned — oulu2006 · 2026-10-28
- Testing Mint Modeler to Build the Menlo Research Robot — freelerobot · 2026-10-28
- Khosla-backed startup builds a 'mind-reading' cap with 100,000 tiny chips to write AI prompts — Distinct-Question-16 · 2026-10-28