Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
AWR standardizes CNC machine tending with OnRobot electric grippers to speed changeovers
In the evolving landscape of high-mix, low-volume manufacturing, companies are increasingly recognizing the need for flexibility in production to maintain profitability. Automation Within Reach (AWR), previously known as Gosiger Automation, is addressing this challenge by introducing advanced automation solutions that enhance the adaptability of machine shops. Traditionally reliant on pneumatic systems, many manufacturers have struggled with the limitations of these older technologies, which lack the intelligence necessary for modern operations. AWR's innovative approach aims to equip manufacturers with the tools needed to seamlessly transition between various part sizes, thereby improving efficiency and competitiveness in a rapidly changing market. This shift towards smarter automation is crucial for manufacturers seeking to thrive in an environment where agility is key to success.
Components Engineering Features Industrial robots 3FG25 gripper automated machining
New 3D-printed battery electrodes double storage capacity across 7,500 charge cycles
Researchers at Lawrence Livermore National Laboratory (LLNL) have unveiled an innovative 3D-printed electrode design aimed at enhancing electrochemical processes. This breakthrough, announced recently, promises to improve the efficiency and performance of energy storage systems, such as batteries and fuel cells. The development comes in response to the growing demand for advanced energy solutions that can support sustainable technologies and reduce reliance on fossil fuels. By leveraging 3D printing techniques, the team has created a more intricate and optimized electrode structure that allows for better ion flow and increased surface area, ultimately leading to higher energy density and faster charging times. This advancement could play a crucial role in the transition to cleaner energy sources, addressing both environmental concerns and the need for more efficient energy storage solutions in various applications.
AI Copilot Keeps Berkeley’s X-Ray Particle Accelerator on Track
In Berkeley, California, researchers at the Lawrence Berkeley National Laboratory are utilizing an AI agent to enhance high-stakes physics experiments at the Advanced Light Source (ALS) particle accelerator. This innovative technology aims to improve the efficiency and accuracy of experiments conducted at the facility, which is renowned for its cutting-edge research in particle physics. The deployment of the AI agent marks a significant advancement in the integration of artificial intelligence within scientific research, as it assists scientists in analyzing complex data and optimizing experimental conditions. This initiative, launched in October 2023, reflects the growing trend of leveraging AI to accelerate discoveries in the field of physics and beyond. By streamlining processes and providing real-time insights, the AI agent is expected to contribute to groundbreaking findings at the ALS, further solidifying its position as a leader in particle acceleration research.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
