#long-horizon tasks

Gemini Robotics 1.5 splits high-level embodied reasoning and low-level visuomotor control to enable agentic, multi-step robot behavior and zero-shot motion transfer across heterogeneous platforms

MIT and NUS researchers introduce MEM1, a reinforcement learning framework that enables language agents to efficiently manage memory during complex multi-turn tasks, outperforming larger models in speed and resource use.