Volume 1

An in-sensor system unifies imaging, compression and wireless transmission, encoding images as compact spatial-frequency signals that preserve recognition accuracy while greatly reducing latency under limited bandwidth. The illustration presents in-sensor processing that encodes visual information into wireless signals, transmitting compressed features to a network for rapid interpretation.

See Wang et al.

An agent‑driven simulation framework and a multi‑sensor mapping system enable robust, drift‑free three-dimensional SLAM (simultaneous localization and mapping) for quadruped robots, bridging the gap between algorithm design and real-world deployment in complex environments. The illustration shows a quadruped robot at the intersection between a simulated and real world.

See Li et al.

Hemispheric contrasts in lunar surface chemistry, revealed by integrating Chang’e-6 farside samples with orbital spectroscopy and machine-learning calibration, refine global maps of terranes and deep materials exposed in the South Pole–Aitken basin. The illustration presents an artistic interpretation of the Moon’s reconstructed geochemical landscape.

See Hu et al.

Checkerboard patterns arising from quantized interlayer charge transfer reveal the displacement‑to‑magnetic‑field ratio in bilayer graphene. The illustration presents an artistic vision inspired by these quantum structures.

See Dong et al.

Welcome to the first issue of Nature Sensors, a new Nature Portfolio journal covering all areas of sensing technology. Our inaugural issue proudly presents the latest advances in artificial intelligence-powered wearables that decode hand gestures and predict gait, noise-tolerant human–machine interfaces, continuous sweat-based cortisol monitoring, ultra-efficient event-based neural sensors for closed-loop neuromodulation, human-like multimodal robotic touch, and self-powered vibration sensors capturing subtle physiological signals.