The rate of damage to tobacco leaves during harvesting serves as a critical performance indicator for tobacco leaf harvesters. Real-time monitoring of the damage rate for freshly harvested leaves can ...

The world’s biggest miner says artificial intelligence has helped it detect problematic objects that could damage machinery, and to save $50 million a year. BHP has set a goal for artificial ...

RLWRLD last week presented RLDX-1, a new dexterity-first foundation model. The company built the model to tackle complex tasks in the real-world industry using high degree-of-freedom (DoF) robotic ...

Boston Dynamics today announced it is partnering with Google Cloud and Google DeepMind to integrate Gemini and Gemini Robotics ER 1.6 into Orbit AIVI-Learning. The robotics developer said the ...

The subject of this article is the development of an unmanned surface vehicle (USV) for the removal of floating debris. A twin-hulled boat with four thrusters placed at the corners of the vessel is ...

Abstract: Object detection plays a crucial role in automation systems, such as in tasks where sorting of workpieces from conveyor belts is needed. Many technologies can be utilized in such systems for ...

To address the issues of low detection accuracy and poor real-time performance in existing methods for detecting minor abnormalities such as cracks, oil leaks, and ...

ABSTRACT: This study presents the development of a real-time chili sorting system that integrates deep learning techniques with ESP32-CAM hardware to automate the grading of chili peppers based on ...

Abstract: The detection of foreign objects on coal mine conveyor belts is a crucial step in ensuring the safety of coal transportation. A dataset containing 6,279 sample images with three types of ...