Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...

Abstract: The vision-language tracking task aims to perform object tracking based on various modality references. Existing Transformer-based vision-language tracking methods have made remarkable ...

Biologists and engineers have joined forces to build a new robot bat that’s helping us understand how real bats use ...

In a recent study, researchers from China have developed a chip-scale LiDAR system that mimics the human eye's foveation by dynamically concentrating high-resolution sensing on regions of interest ...

Abstract: This paper focuses on developing a vehicle tracking algorithm for vehicle inspection systems. Tracking small vehicle movements in small enclosed systems can be challenging, but offers ...

Autonomous vehicles have made remarkable progress over the past decade. Driverless cars and buses that once struggled to stay in lane can now navigate busy city streets, recognize pedestrians and ...

The algorithms, cameras and sensors allow drones to navigate in space, while the built-in neural network analyzes the video stream and detects people ...