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Today's picks
Jiazhao Zhang, Gengze Zhou, … Xiong-Hui Chen
arXiv·Jun 16, 2026
This robot brain, Qwen-RobotNav, can change how it "sees" and remembers its surroundings on the fly, letting it tackle many different tasks like following instructions or tracking objects without needing new training for each one.
This paper introduces Qwen-RobotNav, a scalable navigation model built on Qwen3-VL, achieving state-of-the-art results across major navigation benchmarks and demonstrating robust zero-shot generalization to real-world robots.
Spencer K. Clark, Troy Arcomano, … Christopher S. Bretherton
arXiv·Jun 6, 2026
Climate models learned from past data struggle when ocean temperatures and carbon dioxide levels change in unexpected ways; this paper fixes that by training a new model on diverse, uncorrelated climate scenarios, making it much better at predicting future climate changes.
This paper is trending due to its novel application of machine learning to disentangle complex climate forcings like sea surface temperature and CO₂ in weather-climate emulators, a critical advancement for climate modeling.
S. Grouffal, A. Santerne, … C. Watson
arXiv·Jun 22, 2026
Scientists watched a distant star for ten years, using powerful telescopes to measure its tiny wobbles, and found that two of its planets orbit at 278 and 393 days, and one super-fluffy planet is twice as heavy as thought, confirming its extremely low density.
This paper offers a decade of insights into the HIP 41378 planetary system, confirming the 'super-puff' nature of exoplanet HIP 41378 f and refining parameters for other planets, generating significant interest in exoplanet research.