These models can capture more complex and contextual information from images, and perform ... Choosing the best model for object detection and recognition for robot navigation depends on several ...

Abstract: This paper studies the object detection and localization for vision-based robots. The vision-based robot collects the stream of images by using the wide-angle monocular camera to get ...

Abstract: The employment of robots in manufacturing industries ... The major issue associated with image-based visual servoing of industrial manipulators is the identification and tracking of object ...

per image. This fast detection speed enables the robot to make immediate decisions based on detected objects, ensuring a quick response time in dynamic environments. Accuracy: The model achieved an ...

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

The robot's eyes are sensors and ... YOLO and SSD are variants of R-CNNs that can perform object detection and recognition in real time by dividing the image into grids and predicting the bounding ...

In this project, object detection is done via Raspberry Pi by providing ... Here is the last version of the robot as shown the image. The red led lights up if the object is cigarette_butt. There is a ...

To accomplish all three at once, the researchers developed a technique known as image-free single-pixel object detection (SPOD). In the Optica Publishing Group journal Optics Letters, they report ...