Futurities is the revamped, revisited, and renewed version of the EnginSoft's SBE&S Magazine, the quarterly publication dedicated to bring you the latest news and developments in the numerical simulation world, paying attentions to the issues of reducing product development lead time, increasing the return on investment by using the latest and greatest CAE tools, and to original, "out-of-the-box" approaches to the problems of design and product development.
The new version of the magazine is intended to focus into a forward-looking instructive tool for knowledge transfer, seasoned with food for thought and reflection – in a nutshell to present the future of engineering simulation in all its facets and what will happen then. The content is organized into several focused areas including Technology Transfer, that will feature technical or mathematical analyses of different engineering problems, as well as academic papers, Know-How, that will present industrial use cases describing the engineering challenge faced, the approach taken, and methodology used in resolving it, Research & Innovation, that will offer updates and insights from research projects, as well as providing a showcase for interesting innovative applications, Product Peeks, that will provide an overview of some of the latest software products on the market, and still more sections to come.
The main novelty is the Spotlight that will focus on an aspect of simulation, presenting leading edge approaches, techniques and technology developments.
The first issue of Futurities for 2023 places the Spotlight on robots and cobots (collaborative robots) positing that they represent the meeting point for collaboration and innovation. Articles in this section include a look at robotic assistants in the operating theatre where they are being used to assist surgeons with joint replacement operations, while other robots are being developed to assist with highly complex procedures at the microscopic scale.
Traditional industrial robotics is learning from cobot development and taking advantage of advances in AI-assisted programming together with the use of sensors to render large industrial robots more collaborative and adaptable to allow existing implementations to be leveraged and achieve the twin benefits of robust yet precise performance with greater versatility.
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