Incoming MPhil student in the Red Bird Program, ROAS Thrust @ HKUST(GZ), working on robot learning for manipulation. B.Eng. in Cyber Science and Engineering from Sichuan University. Previously @ NeoteAI, working on tactile world action models.
What lets a robot policy generalize beyond memorized behavior:
- Representation — how a policy learns the dynamics of different representations in the real world
- Memory — how memory sustains long-horizon tasks
- Efficiency — what keeps the whole system practical to run
| 𝒩₀-Foundation — Towards the Age of Tactile Intelligence | report · project · code |
| 𝒩₀-TWAM — Scaling Tactile-Native World Action Model for Contact-Rich Manipulation | report · project · code |
| 𝒩₀-VTLA — Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens | report · project · code |
🌐 anlorla.github.io · ✉️ ivyquinewang [at] gmail [dot] com