Latest Articles for Safety Technology

New method enhances robot movement around obstacles while ensuring safety.

Neutrino detectors offer new methods for monitoring Small Modular Reactors' safety and operations.

This study presents a method to monitor nuclear reactors using antineutrino detection.

A new method integrates physics and deep learning to predict human movement accurately.

A framework using random masking enhances prediction of vehicle and pedestrian movements.

Research aims to enhance cobot safety through innovative control methods.

Parking Pedestrian Dataset improves safety in self-driving cars by focusing on pedestrian detection.

A method for efficient traffic sign classification in autonomous driving.

New training method helps robots move safely in hazardous areas.

Researchers create robots to help people evacuate during crises.

This study shows how AI coaching can enhance driving skills and safety.

FISOR enhances safety in offline reinforcement learning through strict constraints and unique learning methods.

Researchers explore audio sensing technology for improved pedestrian detection in urban areas.

A look at how sensor simulations boost safety in autonomous driving.

Exploring safety measures in adaptive control using control barrier functions.

A new method combines learning and safety for smarter robot control.

Advancements in AI focus on assessing uncertainty in robotic object detection.

Examining the dangers of integrating language models in robotic systems.

Research focuses on smooth safety filters for improved autonomous vehicle performance.

Enhancing safety in machines through better perception contracts and learning-based approaches.

Introducing PREDILECT, a method for efficient human-robot interaction.

World models aid self-driving cars in predicting road events for safety.

A study on efficient reachability methods for autonomous systems.

A new method to help robots navigate safely despite uncertainties.

New method improves predictions for moving objects in autonomous driving.

Two new algorithms enhance robot perception and ensure safety in various environments.

AIDE streamlines data management for enhanced safety in self-driving vehicles.

A new method improves motion prediction for autonomous vehicles, focusing on safety and uncertainty.

This article presents a new method for detecting unknown objects in various settings.

New methods enhance safety by measuring confidence in self-driving vehicle decisions.

Addressing communication issues for safer and more efficient vehicle platooning.

A new approach helps robots navigate safely in complex environments.

A method for verifying safety in self-driving cars and drones using neural networks.

Simulations play a vital role in assessing the safety of autonomous vehicles.

A novel method combines language models and knowledge graphs to improve robot safety.

A new approach to enhance 3D detection accuracy in changing environments.

This study explores new methods for detecting pedestrians in harsh weather.

New method enhances uncertainty quantification in adversarially trained models.

Improving safety for machine learning models with advanced shielding techniques.

A new method improves safety for drones using resilient estimation and control barrier functions.