Latest Articles for Sensor Technology

Researchers are training robots to skillfully handle small, slender objects.

A study on optimizing data collection in sensor systems with dynamic processes.

A new method improves safety in robotics and self-driving vehicles by managing sensor uncertainty.

New methods combine control and estimation for accurate drone navigation.

Combining LIDAR with gray scale images boosts accuracy and saves energy.

TransFusionOdom improves robot positioning by merging LiDAR and IMU data.

This research addresses random errors from vibrations in measurement tools.

Combining camera and LiDAR data enhances robot positioning in various environments.

Combining touch and vision enhances robot interactions and predictions.

A new hybrid waveguide design improves light control in photonic circuits.

A new system improves sensor calibration using deep learning while driving.

A new method boosts accuracy in healthcare data analysis.

SparseFusion efficiently combines camera and LiDAR data for improved object detection.

Exploring chiral butterfly structures for innovative wave polarization control.

New roadside sensors improve object detection for automated vehicles.

New approach improves plane extraction efficiency for LiDAR applications in robotics.

A unified approach to improve tactile representation learning for robots.

TransCAR combines radar and camera data for improved object detection in vehicles.

New methods improve robot navigation and mapping in complex environments.

A study on lead titanate films and their domain structures.

A framework enhances self-driving car reliability in unfamiliar environments using camera data.

Examining the role of quantum squeezing in antiferromagnetic materials.

Introducing a sensor that measures multiple light parameters efficiently.

Researchers assess the potential and limits of non-Hermitian quantum sensors in precision measurement.

Improving indoor mapping accuracy using sensor fusion methods for robotics.

A new method enhances depth maps using two types of cameras for robotics.

Understanding how sensor placement affects robot data collection and performance.

A novel approach improves object position estimation using tactile data.

Neural networks enhance the detection of sensor faults in modern systems.

InstaLoc uses lidar scans for precise indoor robot localization.

A new data structure enhances filtering in Dynamic Vision Sensors for better performance.

A new framework enhances safety by detecting anomalies in aircraft sensor data.

A new method enhances how sensors process data for better object detection.

A look at methods for estimating conversion gain in modern image sensors.

A new method improves robot tracking by combining maps with sensor data.

Bird's Eye View enhances visual place recognition for better accuracy in autonomous driving.

New sensors enhance detection sensitivity through unique connectivity.

This study examines how to analyze interconnected machine data for better insights.

Using machine learning to improve airflow studies and control with limited data.

Exploring multipath effects on automotive radar accuracy and performance.