The latest advances in robotics are being used to improve a variety of industries and applications. In the manufacturing sector, AI is being used to control robots for more efficient and precise production. In the mining industry, robots are being developed to work in dangerous and difficult environments. And in the construction sector, 3D printing is being used to build schools and other infrastructure more quickly and affordably.
In addition to these practical applications, robotics is also being used to develop new and innovative products and services. For example, a new algorithm has been developed for detecting crop rows in agricultural fields, which could help to improve crop yields. A human-scale tennis playing robot has also been developed, which could provide a new way for people to play tennis. And a new dataset has been created for agricultural robotics, which could help to train robots to identify and remove weeds.
These are just a few examples of the latest advances in robotics. As the technology continues to develop, we can expect to see even more innovative and groundbreaking applications in the years to come.
Economical production of small batches The vast majority of production in industrial machine building happens as make-to-order (MTO) manufacturing of batches – meaning in volumes everything from a single part to thousands of pieces per year. As there’s also variance in the workpiece mix, this kind of production is often called high-mix-low-volume...
Instructing a robot can be just a matter of a large language model that handles actions in the same prompt as images and words.
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Around the world, over 250 million young people have no access to education. Thinking Huts, a non profit organization aims to help bring that number down with the help of 3D printing technology. CEO and founder of Thinking Huts Maggie Grout sits down with us to walk us through the building process and the positive impacts the project has had thus far.
3D printing has long been touted as a way to quickly build homes, buildings, and communities, enabling the construction industry to work more quickly. Now, we are seeing the technology is helping to rebuild a 3D printed school in Ukraine. The country has faced many hurdles due to the recent geopolitical conflict, resulting in the destruction...
School closures, shelling, and displacement has made access to education especially difficult for children in Ukraine. Since the start of Russia's full-scale invasion in February 2022, at least 2,600 schools have been damaged in the country, 300 of which were completely destroyed. Additionally, 2.5 million children have been internally displaced within...
Abstract Autonomous navigation in agricultural environments is challenged by varying field conditions that arise in arable fields. State-of-the-art solutions for autonomous navigation in such environments require expensive hardware, such as Real-Time Kinematic Global Navigation Satellite System. This paper presents a robust crop row detection algorithm...
Meet Esther the first ever human scale tennis playing robot. Robots have been introduced into the world of sports. A team of researchers at Georgia Tech have developed a robot called Esther (Experimental Sports Tennis Robot) named after Esther Vergeer, the dutch tennis player. Using high-res cameras and computer vision algorithms…this wheelchair equipped...
Abstract Computer vision can lead toward more sustainable agricultural production by enabling robotic precision agriculture. Vision-equipped robots are being deployed in the fields to take care of crops and control weeds. However, publicly available agricultural datasets containing both image data as well as data from navigational robot sensors are...
Abstract Indoor farming is expected to have an increasing impact on future food and agricultural systems. It can produce crops year-round without relying on weather patterns, bringing crop production systems closer to advanced manufacturing systems for industrial and consumer goods. Indoor farming also provides an ideal platform for implementing intelligence-driven...
posted 2w ago by Guoqiang Ren, Tianhao Wu, Tao Lin, Liangjing Yang, Girish Chowdhary, K. C. Ting, Yibin Ying via Journal of Field Robotics The cover image is based on the Research Article Combustion-enabled underwater vehicles (CUVs) in dynamic fluid environment by Haipeng Wang et al., https://doi.org/10.1002/rob.22167
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