Object detection can help robots recognize faces, gestures, emotions, actions, and objects of interest in their surroundings. ROS object detection is a crucial technology that enhances robot-human ...

Object detection can help robots to focus on relevant parts of the scene and avoid obstacles or distractions. In certain implementations using simulated and real data to train YOLO based detectors ...

Ben Caunt, from Warm Automation, has showcased his new open-source project that allows robots to detect and track objects in real time using Moondream AI and OpenCV. The project, called ...

In order to overcome these challenges, our method leverages a physical robotic arm and the YOLOv7 object detection neural network to improve the accuracy of elevator button detection and enable ...

Description: Developed an autonomous object detection and pick-and-place robotic system using a 6-degree-of-freedom (6-DOF) robotic arm (MyCobot) controlled by a Raspberry Pi 4B and an ESP32 board.

This led to the idea of implementing object detection within the robotics station. By initiating the camera_main.py program, a server for socket communication between Python code and robot code is ...

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 ...

“We take a step towards bridging this gap by training quadruped robots not only to walk but also to use the front legs to climb walls, press buttons, and perform object interaction in the real ...