Browse Topic: Collaboration and partnering
In order to meet the demand for the transformation of traditional manufacturing industries into intelligent manufacturing, a virtual monitoring system for the production workshops of nuclear - key products has been built. There are problems such as poor environment, long distance and remote collaborative office in this production workshop, and managers lack information tools to master the workshop status in real time. In order to minimize the harm of nuclear radiation to the human body, in view of the problems of low transparency, poor real - time performance and low data integration in traditional two - dimensional forms, configuration software and video monitoring, a remote monitoring system for virtual workshops driven by digital models has been developed. This system realizes the remote dynamic display of real - time information in the workshop based on data collection and three - dimensional modeling technologies. Virtual monitoring technology improves the management efficiency of
In view of the complexity of railway engineering structure, the systematicness of professional collaboration and the high reliability of operation safety, this paper studied the spatial-temporal information data organization model with all elements in whole domain for Shuozhou-Huanghua Railway from the aspect of Shuozhou-Huanghua Railway spatial-temporal information security. Taking the unique spatial-temporal benchmark as the main line, the paper associated different spatial-temporal information to form an efficient organization model of Shuozhou-Huanghua Railway spatial-temporal information with all elements in the whole domain, so as to implement the effective organization of massive spatial-temporal information in various specialties and fields of Shuozhou-Huanghua Railway; By using GIS (Geographic Information System) visualization technology, spatial analysis technology and big data real-time dynamic rendering technology, it was realized the real-time dynamic visualization display
The Gatik Arena platform integrates NVIDIA Cosmos models to create closed-loop, ultra-realistic digital environments that address real-world limitations. Gatik Arena is a next-generation simulation platform designed to accelerate the development and validation of autonomous vehicle (AV) systems. Gatik, which targets autonomous middle-mile logistics, built and fine-tuned Arena in-house to meet specific operational and technical needs. Unveiled in July 2025, the platform is said to produce photorealistic, structured and controllable synthetic data that addresses the limitations of traditional real-world data collection. Founded in 2017, Gatik plans to scale its freight-only, driverless operations in 2025, and the Arena platform is central to this endeavor. Gatik collaborated with NVIDIA to integrate its Cosmos world foundation models (WFMs), which enable the creation of ultra-high-fidelity, physics-informed digital environments for robust AV training and validation, said Norm Marks, VP
The next generation of mobility, driven by shared, driverless, connected, and electrified vehicles, holds strong potential to advance sustainability through lower emissions and improved resource efficiency. However, critical questions remain regarding their true environmental impact, including battery lifecycle management, material consumption, and circular manufacturing practices. Sustainable Circular Future Mobility: Environmental Impact of Next-gen Vehicles explores these unresolved issues, focusing on the shift from internal combustion to electric vehicles, supply chain challenges, regulatory gaps, and the operational realities of sustainable productization. It also critically examines the risks of greenwashing, the need for consistent standards, and the role of intersectoral collaboration—with energy, urban planning, information and communications technologies, and waste management sectors—in building resilient, scalable solutions. The report provides strategic recommendations and
The objective of this effort is to create a methodology to posture and position equipped manikins in Computer-Aided Design (CAD) software for ground vehicle workstation design. A collaborative effort is taking place to evaluate the current practices used to posture and position both physical and digital human representations. The goal of the group is to determine how best to utilize posture and position data to update positioning procedures. Data from the Seated Soldier Study and follow-on studies is being utilized to develop statistical models using multivariate analysis methods. Design is the first area of focus across the broader design-develop-evaluate process. The products to address this need are parametric CAD accommodation models with imbedded Digital Human Models (DHMs). Developing updated positioning procedures for each of the manikins will provide a traceable justification for positioning manikins based on Soldier data.
The Technical Cooperation Program (TTCP) is a five-nation defense innovation network that harnesses science and technology in support of the defense and national security of the participant nations. The 2019 TTCP Scrum Event’s objective, sponsored by the Aerospace Systems group, was to enhance the military capability of current and future systems through collaborative research and innovation. The primary goal of this effort was to contribute to a shared understanding of the benefits of a MS&A-powered wargame-like event while examining future concepts. The 2019 Scrum Event was a collaborative event demonstrating a new approach of MS&A capabilities to FVEY partners fostering future TTCP scrum processes and relationships. This paper will discuss the resultant simulation environment, analysis methodology comparing constructive and virtual simulation, provide an overview of the scrum’s origins, purpose, and composition, and provide high-level results, outcomes, and lessons learned.
The development of cyber-physical systems necessarily involves the expertise of an interdisciplinary team – not all of whom have deep embedded software knowledge. Graphical software development environments alleviate many of these challenges but in turn create concerns for their appropriateness in a rigorous software initiative. Their tool suites further enable the creation of physics models which can be coupled in the loop with the corresponding software component’s control law in an integrated test environment. Such a methodology addresses many of the challenges that arise in trying to create suitable test cases for physics-based problems. If the test developer ensures that test development in such a methodology observes software engineering’s design-for-change paradigm, the test harness can be reused from a virtualized environment to one using a hardware-in-the-loop simulator and/or production machinery. Concerns over the lack of model-based software engineering’s rigor can be
After 3D printing a habitat designed for Mars and working with NASA on print material made from synthetic Moon dust, AI SpaceFactory Inc. has commercialized two separate 3D printers. The Secaucus, NJ-based company’s latest offering, Starforge, is a large-capacity 3D printer that uses innovative print material inspired by SpaceFactory’s work with NASA’s Kennedy Space Center in Florida under an Announcement of Collaboration Opportunity agreement.
FibreCoat, the German materials startup, has developed a groundbreaking fiber reinforced composite that is capable of making aircraft, tanks and spacecraft invisible to radar surveillance. The company was officially founded in Aachen, Germany, in 2020, however its core founding team first began developing new approaches to the use of materials that make commercial and military vehicles invisible to radar as back as 2014. FibreCoat is known for inventing a novel technology to coat metals and plastics onto fibers, thus combining the properties of the fibers and the coating material, during the fiber-spinning process.
Artificial intelligence systems like ChatGPT are notorious for being power-hungry. To tackle this challenge, a team from the Centre for Optics, Photonics and Lasers (COPL) has come up with an optical chip that can transfer massive amounts of data at ultra-high speed. As thin as a strand of hair, this technology offers unrivaled energy efficiency.
Imagine being handed a device that’s meant to help you — but instead feels intimidating, confusing, or painful to use. For millions of patients around the world, that’s the reality of managing treatment at home. Across ailments, the burden of self-administered care is growing, and with it, the importance of designing drug-delivery systems designed with the patient experience at their core.
A research team led by scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) has developed a new fabrication technique that could improve noise robustness in superconducting qubits, a key technology for enabling large-scale quantum computers.
PACCAR's Phil Stephenson previews SAE COMVEC 2025 and offers insights into powertrain diversification, the role of AI, a software-defined future and the importance of people. Advancing technology to solve challenges involving regulation, compliance, autonomy, electrification, combustion engines and other areas is an obvious focus of SAE International's flagship gathering for the commercial vehicle and off-highway industries, COMVEC 2025 (https://comvec.sae.org/). But advancing people, which is vital to navigating this challenging environment, is a particular focal point for this year's engineering event being held near Chicago in September. Workforce development is just as critical as technology development, stresses Phil Stephenson, general manager of PACCAR Technical Center, where he leads a team of engineers, technicians, mechanics, scientists and business leaders. Stephenson is serving as the executive chair of SAE COMVEC 2025, which carries the theme “Advancement, Empowerment
Specialized robots that can both fly and drive typically touch down on land before attempting to transform and drive away. But when the landing terrain is rough, these robots sometimes get stuck and are unable to continue operating. Now a team of Caltech engineers has developed a real-life Transformer that has the “brains” to morph in midair, allowing the dronelike robot to smoothly roll away and begin its ground operations without pause. The increased agility and robustness of such robots could be particularly useful for commercial delivery systems and robotic explorers.
Smaller devices that can do the same or more efficient work than silicon can lead to markedly smaller EV powertrain components. This story starts in 2017, when the Department of Energy's U.S. DRIVE partnership laid out targets for power electronics for 2025 in a technical team roadmap: power density of 100 kW/l for a powertrain that would last either 300,000 miles or 15 years, at a cost of no more than $2.70 per kW. Progress in the intervening years led to an updated roadmap in 2024, specifying stricter 2025 targets of 150 kW/l power density at a cost of no more than $1.80 per kW, based on a 600-volt system. Along with that came more refined targets for 2030 and 2035. For 2030, the goal is an 800-volt system that produces peak power of 200 kW maintained for 30 seconds, and a power density of 200 kW/l that costs no more than $1.35 per KW. The goal for 2035 now sits at 225 kW/L for $1.20.
U.S. Army researchers, in collaboration with academic partners, invented a stronger copper that could help advance defense, energy and aerospace industries thanks to its ability to endure unprecedented temperature and pressure extremes. Extreme materials experts at the U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory built on a decade of scientific success to develop a new way to create alloys that enable Army-relevant properties that were previously unachievable. An alloy is a combination of a metal with other metals or nonmetals.
By combining topology optimization and additive manufacturing, a team of University of Wisconsin-Madison engineers created a twisty high-temperature heat exchanger that outperformed a traditional straight channel design in heat transfer, power density and effectiveness.
Through the Artemis campaign, NASA will send astronauts on missions to and around the Moon. The agency and its international partners report progress continues on Gateway, the first space station that will permanently orbit the Moon, after visiting the Thales Alenia Space facility in Turin, Italy, where initial fabrication for one of two Gateway habitation modules is nearing completion.
A research team has developed DeepNeo, an AI-powered algorithm that automates the process of analyzing coronary stents after implantation. The tool matches medical expert accuracy while significantly reducing assessment time. With strong validation in both human and animal models, Deep-Neo has the potential to standardize monitoring after stent implantation and thus improve cardiovascular treatment outcomes.
Mini organs are incomplete without blood vessels. To facilitate systematic studies and ensure meaningful comparisons with living organisms, a network of perfusable blood vessels and capillaries must be created — in a way that is precisely controllable and reproducible. A team has established a method using ultrashort laser pulses to create tiny blood vessels in a rapid and reproducible manner. Experiments show that these vessels behave just like those in living tissue. Liver lobules have been created on a chip with great success.
With 2D cameras and space robotics algorithms, astronautics engineers at Stanford have created a navigation system able to manage multiple satellites using visual data only. They recently tested it in space for the first time. Stanford University, Stanford, CA Someday, instead of large, expensive individual space satellites, teams of smaller satellites - known by scientists as a “swarm” - will work in collaboration, enabling greater accuracy, agility, and autonomy. Among the scientists working to make these teams a reality are researchers at Stanford University's Space Rendezvous Lab, who recently completed the first-ever in-orbit test of a prototype system able to navigate a swarm of satellites using only visual information shared through a wireless network. “It's a milestone paper and the culmination of 11 years of effort by my lab, which was founded with this goal of surpassing the current state of the art and practice in distributed autonomy in space,” said Simone D'Amico
Someday, instead of large, expensive individual space satellites, teams of smaller satellites – known by scientists as a “swarm” – will work in collaboration, enabling greater accuracy, agility, and autonomy. Among the scientists working to make these teams a reality are researchers at Stanford University’s Space Rendezvous Lab, who recently completed the first-ever in-orbit test of a prototype system able to navigate a swarm of satellites using only visual information shared through a wireless network.
An Army-funded research project has led to the development of more efficient materials for developing thermoelectric generators that convert waste heat to clean energy for a variety of applications. The Pennsylvania State University, University Park, PA Thermoelectric generators that can convert waste heat to clean energy could soon be as efficient as other renewable energy sources, like solar, according to a team led by Penn State scientists. Using high-entropy materials, the researchers created more efficient thermoelectric materials than previously possible, an advancement that they said could even help make long-distance space exploration possible. In a study partially funded by the U.S. Army with results published in the journal Joule last year, the researchers demonstrated how thermoelectric devices - including the radioisotope thermoelectric generators that produce energy for NASA's space exploration vehicles - can convert differences in temperature to electricity. When they are
For the team at SmartCap, building top-notch gear for outdoor adventurers isn’t just a business — it’s a passion driven by their own love for the wild. But as demand for their rugged, modular truck caps soared after their move to North America in 2022, they hit a snag: How do you ramp up production without sacrificing the meticulous quality you are known for, all while navigating a tough labor market? Their answer? A bold step into the world of intelligent automation, teaming up with GrayMatter Robotics, and employing the company’s innovative Scan&Sand™ system.
A team of UCLA engineers and their colleagues have developed a new design strategy and 3D printing technique to build robots in one single step. The breakthrough enabled the entire mechanical and electronic systems needed to operate a robot to be manufactured all at once by a new type of 3D printing process for engineered active materials with multiple functions (also known as metamaterials). Once 3D printed, a “meta-bot” will be capable of propulsion, movement, sensing, and decision-making.
Last summer, SAE Media was invited to Eaton's proving grounds in Marshall, Michigan, to test drive an electric truck the company had built in collaboration with BAE Systems. The truck was a showcase not only of BAE's powertrain control technology, but also of Eaton's new multi-speed heavy-duty EV transmission. That truck was on display at the 2025 ACT Expo, as was Eaton's transmission. SAE Media spoke with Scott Adams, SVP of technology and global products for Eaton, in Anaheim, California, about the company's portfolio of multi- and single-speed medium- and heavy-duty transmissions as well as other upcoming driveline offerings.
Thermoelectric generators that can convert waste heat to clean energy could soon be as efficient as other renewable energy sources, like solar, according to a team led by Penn State scientists. Using high-entropy materials, the researchers created more efficient thermoelectric materials than previously possible, an advancement that they said could even help make long-distance space exploration possible.
A team led by Kelsey Hatzell, Associate Professor of Mechanical and Aerospace Engineering and the Andlinger Center for Energy and the Environment, has uncovered insights that could help power a new type of battery, called an anode-free solid-state battery, past lithium-ion’s limitations.
In the race to meet the growing global demand for lithium, a team of researchers from Rice University’s Elimelech lab has developed a breakthrough lithium extraction method that could reshape the industry.
A good Noise, Vibration, and Harshness (NVH) environment in a vehicle plays an important role in attracting a large customer base in the automotive market. Hence, NVH has been given significant priority while considering automotive design. NVH performance is monitored using simulations early during the design phase and testing in later prototype stages in the automotive industry. Meeting NVH performance targets possesses a greater risk related to design modifications in addition to the cost and time associated with the development process. Hence, a more enhanced and matured design process involves Design Point Analysis (DPA), which is essentially a decision-making process in which analytical tools derived from basic sciences, mathematics, statistics, and engineering fundamentals are used to develop a product model that better fulfills the predefined requirement. This paper shows the systematic approach of conducting a Design Point Analysis-level NVH study to evaluate the acoustic
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