dexterity

Google DeepMind introduces Gemini Robotics On-Device, an efficient VLA model optimized to run locally on robotic devices, enabling low-latency operation and offline capability while maintaining strong dexterous manipulation and task generalization. The model can be fine-tuned with as few as 50-100 demonstrations and comes with an SDK for developers.

OpenAI announces Dactyl, a system that learns robotic hand dexterity through simulation and reinforcement learning, using LSTMs to generalize across different physical environments and the Rapid PPO implementation to train policies that transfer to real-world manipulation tasks.