SceneSmith Generates 3D Scenes With 3 AI Agents
MIT_CSAIL · x · 2026-07-15
MIT CSAIL points out that robots lack sufficiently diverse simulation content, making it difficult for them to learn how to perform tasks in varying environments.
To address this, they proposed SceneSmith, which uses 3 AI agents to generate more realistic 3D scenes, such as kitchens and hotel spaces, ultimately helping robotics researchers reduce the time and cost associated with real-world testing.
Related event: MIT's SceneSmith Uses 3 AI Agents to Build 3D Scenes for Robot Training(2 posts)→
More from Embodied
- NVIDIA releases MotionBricks: real-time humanoid motion generation at 15,000 FPS with 2ms latency — _akhaliq · 2026-10-26
- Claude Code finds root backdoor in Honda Civic head unit, then debloats it — IndraVahan · 2026-10-26
- Temple health wearable opens pre-orders, users ask: why wear it before benefits are proven — abhishekcode42 · 2026-10-26
- FLASH: GPU-native deformable sim learns cloth folding in minutes on one RTX 5090 — ChongZzZhang · 2026-10-26
- Luke Wroblewski spots it: iPhone Duo's corner radius mirrors the original iPhone — LukeW · 2026-10-26
- Humanoids shattered forecasts: half-marathon record in 2026, 100m faster than Bolt — ben_j_todd · 2026-10-26