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Consider a robot tasked with identifying objects in a cluttered environment. Image processing techniques, like edge detection, highlight object boundaries and filtering reduces noise.
This paper proposes an active vision-based method for moving objects detection and tracking from a mobile robot. A Motion Grid, defined on the image, provides the probability to find a moving object ...
Robot vision cameras are devices that capture images and process them to extract useful information for various applications, such as industrial automation, quality inspection, navigation, and ...
MoondreamObjectTracking, an open-source project that enables real-time object tracking for robots using Moondream AI and OpenCV. The system efficiently combines AI-based detection with optical flow ...
Towards more accurate 3D object detection for robots and self-driving cars. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 01 / 240109121120.htm ...
Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...
We propose a method for learning specific object representations that can be applied (and reused) in visual detection and identification tasks. A machine learning technique called Cartesian Genetic ...
The initial launch of the Pollen-Vision library showcases a meticulously curated collection of vision models, chosen for their direct relevance to robotic applications. Designed with simplicity in ...
Boston Dynamics designed the robot’s vision system to handle these challenges through a combination of 2D and 3D awareness, object pose tracking, and tight calibration between what it sees and does.
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