View: Robotic Models to Be Trained by LLMs via Real2Sim RL
YouJiacheng · x · 2026-08-22
A viewpoint suggests that many robotic models will be trained via LLM-driven real2sim (real-to-simulation) reinforcement learning, with the design process itself also directed by LLMs. This highlights the potential central role of LLMs in data generation and architectural design for embodied intelligence.
More from Embodied
- Humanoid hardware surpasses humans; system integration remains the gap — ChongZzZhang · 2026-08-22
- UBTech Showcases Factory Line: Real-World Data Dominates Training — 量子位 · 2026-08-22
- Chinese Team Launches DeepSoma Platform to Crack PhysicalAI Challenges — 量子位 · 2026-08-22
- Octopus Limb Control Architecture Revealed, Inspiring Soft Robotics — MacrinePhD · 2026-08-22
- CEE is quietly becoming a serious robotics startup hub: Poland, Estonia, Romania — lukas_m_ziegler · 2026-08-22
- Fourier Intelligence showcases 80 humanoid robots in synchronized display — jwt0625 · 2026-08-22