Autonomous vehicles have made remarkable progress over the past decade. Driverless cars and buses that once struggled to stay ...

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

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

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

LimX Dynamics unveils COSA, a humanoid robot OS built for real-world autonomy, enabling robots to perceive, reason, and act ...

Object avoidance is a tough nut to crack on robot vacuums, but Narwal's new Flow 2 promises it has the best yet with a mix of on-board processing and AI cloud computing. Ajay has worked in tech ...

1 Institute of Modern Agricultural Equipment, Xihua University, Chengdu, China 2 Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China Introduction: Tracked agricultural ...

Abstract: Object detection has made remarkable advancement in recent years particularly through CNN-based algorithms, essential for autonomous vehicles. These vehicles need efficient detection systems ...

Abstract: Visual target navigation is a critical capability for autonomous robots operating in unknown environments, particularly in human-robot interaction scenarios. While classical and ...

Texas sheriff's deputies credit a quick-thinking father and phone-tracking technology with saving a teenager from a violent kidnapping on Christmas. On the afternoon of Dec. 25, a 15-year-old girl ...

Real-time small object detection and tracking on edge devices using EdgeYOLO-S, Norfair, ByteTrack and TensorRT. This repository contains a fine-tuned EdgeYOLO-S model for small object tracking using ...