Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Oak Ridge National Lab reveals ‘hidden workforce’ behind AI-powered research facilities
By Clint Keaton Behind every self-driving laboratory at the US Department of Energy’s Oak Ridge National Laboratory is a team most people never see. Facilities and Operations (F&O) workers are building and maintaining the infrastructure that makes autonomous science possible. Autonomous labs run with little human intervention. Instead, they rely on robotics, sensors and automation […]
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RoboChem Flex: democratisation of the autonomous synthesis robot
Researchers from the University of Amsterdam’s Van ’t Hoff Institute for Molecular Sciences, led by Professor Timothy Noël, have made significant advancements in autonomous laboratory systems aimed at optimizing synthesis processes. Their findings, published in the journal Nature Synthesis, introduce RoboChem Flex, a versatile and modular system that incorporates “human-in-the-loop” analytics. This innovative design allows for enhanced flexibility and efficiency in chemical synthesis, potentially transforming how laboratories conduct research and development. The study highlights the growing importance of automation in scientific research, driven by the need for more efficient and accurate synthesis methods.
US scientists are building autonomous robots that can learn directly from researchers
Researchers at Argonne National Laboratory are advancing the field of laboratory automation by creating AI-powered robotic assistants capable of learning and performing various laboratory procedures. This innovative project aims to enhance efficiency and accuracy in scientific research, addressing the growing demand for streamlined processes in laboratories. The development is part of a broader effort to integrate artificial intelligence into everyday scientific tasks, allowing researchers to focus on more complex problem-solving. As the project progresses, the team is exploring various machine learning techniques to enable these robots to adapt and improve their skills over time. This initiative is expected to revolutionize how experiments are conducted, ultimately accelerating the pace of scientific discovery.
NVIDIA and LG Group build AI factory to train robots and power future mobility
Researchers and engineers are advancing the next frontier of artificial intelligence, focusing on the development of machines capable of movement, visual perception, and autonomous decision-making. This initiative, which has gained momentum in recent months, aims to enhance the functionality and adaptability of AI systems across various sectors, including healthcare, transportation, and robotics. The push for these advancements is driven by the increasing demand for intelligent systems that can operate in dynamic environments and perform complex tasks without human intervention. By integrating advanced sensors and machine learning algorithms, developers are working to create AI that not only processes information but also interacts with the physical world in real-time. This evolution in AI technology is taking place in research laboratories and tech hubs around the globe, with significant contributions from universities, private companies, and government agencies. As these entities collaborate, they are exploring innovative applications that could revolutionize industries and improve everyday life. The ongoing research is expected to culminate in prototypes and pilot programs by early 2024, showcasing the potential of these intelligent machines. As the field progresses, ethical considerations and safety measures are also being prioritized to ensure responsible deployment and integration into society. The ultimate goal is to create AI systems that enhance human capabilities and contribute positively to various aspects of life.
Empowering STEM Education and Research in the Americas: Elephant Robotics Introduces Integrated Educational Robotics Solutions
In recent years, STEM education has seen significant growth, fueled by a rising demand for practical engineering skills, artificial intelligence literacy, and interdisciplinary innovation. Despite this progress, schools, universities, and research laboratories continue to face challenges in creating effective robotics environments. Educators often struggle to integrate various components such as robotic arms, mobile platforms, sensors, and open-source software from multiple sources, complicating the development of comprehensive robotics programs. This ongoing issue highlights the need for streamlined solutions that can enhance the teaching and learning of robotics in educational settings.
Design Research Robotics AI education americas automation newsRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
