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Bio-inspired tactile antennae give multi-legged robots the "feel" to navigate tight spots without needing vision or complex mapping.
Control a robot arm with your mind: this BCI system uses only EEG signals to translate visual and motor imagery into real-time grasping and placement actions.
Image generation models can now reason about spatial relationships with significantly improved accuracy thanks to a novel reinforcement learning framework that iteratively refines images based on spatial consistency checks.
Forget handcrafted metrics: RetouchIQ uses an RL-tuned MLLM to generate its own reward signals for instruction-based image editing, leading to more semantically consistent and perceptually pleasing results.
