The 2022 FIFA World Cup begins on Nov. 21 for the first ever winter edition of the competition set for Qatar. The action runs through the final on Dec. 18, but action begins on Nov. 21. Following the draw on April 1 and the intercontinental playoff winners in June in Doha, the complete match schedule is now known as the field is officially complete.While we wait on the exact location for some of the matches, Arrowhead Stadium could be one site. Some of the stadium's seats would have to be removed to fit a full World Cup pitch into the stadium.To get more news about VeboTV, you can visit vebobd.live official website.
"Oh, my gosh. When you think of Sporting KC and the Current and you go out there and see that energy and that excitement, to know that we're welcoming the world into that, that's what that means. Whether you're a soccer fan or not, or a football fan, it's crazy to think about what's going to happen to our city in just four short years," said Kathy Nelson, president and CEO of the Greater Kansas City Sports Commission.

"You get all these different countries to come with their culture and their ethnicity. I think it will be tremendous for this city. I don't know another city in the Midwest that could represent the Midwest better than Kansas City," said Peter Vermes, Sporting KC manager."This is a culmination of a long time. If you remember this area a few years ago, there wasn't Power & Light. There wasn't a new arena. There wasn't Sporting Park in KCK. There wasn't a streetcar. But look at where we are today," Lucas said.
The United States was drawn into World Cup Group B, alongside top-seeded England, Iran, and Wales, which qualified through a European playoff in June.

It's a difficult group, featuring a collection of highly ranked sides. Iran is the lowest-ranked team sitting at No. 21 in the FIFA World Rankings, while England is at No. 5 in the world, and Wales at No. 18. The USA is ranked just above Wales at No. 15.

The USA will play Wales first on the first day of World Cup competition. The game against England comes second, scheduled for an afternoon (USA time) matchup on Black Friday. The U.S. then closes with a critical game against Iran that could determine who escapes from the group.

Robots are already adept at certain things, such as lifting objects that are too heavy or cumbersome for people to manage. Another application they're well suited for is the precision assembly of items like watches that have large numbers of tiny parts - some so small they can barely be seen with the naked eye.To get more news about RaaS, you can visit glprobotics.com official website.

"Much harder are tasks that require situational awareness, involving almost instantaneous adaptations to changing circumstances in the environment," explains Theodoros Stouraitis, a visiting scientist in the Interactive Robotics Group at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL).

"Things become even more complicated when a robot has to interact with a human and work together to safely and successfully complete a task," adds Shen Li, a PhD candidate in the MIT Department of Aeronautics and Astronautics.

Li and Stouraitis - along with Michael Gienger of the Honda Research Institute Europe, Professor Sethu Vijayakumar of the University of Edinburgh, and Professor Julie A. Shah of MIT, who directs the Interactive Robotics Group - have selected a problem that offers, quite literally, an armful of challenges: designing a robot that can help people get dressed. Last year, Li and Shah and two other MIT researchers completed a project involving robot-assisted dressing without sleeves. In a new work, described in a paper that appears in an April 2022 issue of IEEE Robotics and Automation, Li, Stouraitis, Gienger, Vijayakumar, and Shah explain the headway they've made on a more demanding problem - robot-assisted dressing with sleeved clothes.

The big difference in the latter case is due to "visual occlusion," Li says. "The robot cannot see the human arm during the entire dressing process." In particular, it cannot always see the elbow or determine its precise position or bearing. That, in turn, affects the amount of force the robot has to apply to pull the article of clothing - such as a long-sleeve shirt - from the hand to the shoulder.
To deal with the issue of obstructed vision, the team has developed a "state estimation algorithm" that allows them to make reasonably precise educated guesses as to where, at any given moment, the elbow is and how the arm is inclined - whether it is extended straight out or bent at the elbow, pointing upwards, downwards, or sideways - even when it's completely obscured by clothing. At each instance of time, the algorithm takes the robot's measurement of the force applied to the cloth as input and then estimates the elbow's position - not exactly, but placing it within a box or volume that encompasses all possible positions.

That knowledge, in turn, tells the robot how to move, Stouraitis says. "If the arm is straight, then the robot will follow a straight line; if the arm is bent, the robot will have to curve around the elbow." Getting a reliable picture is important, he adds. "If the elbow estimation is wrong, the robot could decide on a motion that would create an excessive, and unsafe, force."

The algorithm includes a dynamic model that predicts how the arm will move in the future, and each prediction is corrected by a measurement of the force that's being exerted on the cloth at a particular time. While other researchers have made state estimation predictions of this sort, what distinguishes this new work is that the MIT investigators and their partners can set a clear upper limit on the uncertainty and guarantee that the elbow will be somewhere within a prescribed box.

The model for predicting arm movements and elbow position and the model for measuring the force applied by the robot both incorporate machine learning techniques. The data used to train the machine learning systems were obtained from people wearing "Xsens" suits with built-sensors that accurately track and record body movements. After the robot was trained, it was able to infer the elbow pose when putting a jacket on a human subject, a man who moved his arm in various ways during the procedure - sometimes in response to the robot's tugging on the jacket and sometimes engaging in random motions of his own accord.
This work was strictly focused on estimation - determining the location of the elbow and the arm pose as accurately as possible - but Shah's team has already moved on to the next phase: developing a robot that can continually adjust its movements in response to shifts in the arm and elbow orientation.

In the future, they plan to address the issue of "personalization" - developing a robot that can account for the idiosyncratic ways in which different people move. In a similar vein, they envision robots versatile enough to work with a diverse range of cloth materials, each of which may respond somewhat differently to pulling.

Although the researchers in this group are definitely interested in robot-assisted dressing, they recognize the technology's potential for far broader utility. "We didn't specialize this algorithm in any way to make it work only for robot dressing," Li notes. "Our algorithm solves the general state estimation problem and could therefore lend itself to many possible applications. The key to it all is having the ability to guess, or anticipate, the unobservable state." Such an algorithm could, for instance, guide a robot to recognize the intentions of its human partner as it works collaboratively to move blocks around in an orderly manner or set a dinner table.

Here's a conceivable scenario for the not-too-distant future: A robot could set the table for dinner and maybe even clear up the blocks your child left on the dining room floor, stacking them neatly in the corner of the room. It could then help you get your dinner jacket on to make yourself more presentable before the meal. It might even carry the platters to the table and serve appropriate portions to the diners. One thing the robot would not do would be to eat up all the food before you and others make it to the table. Fortunately, that's one "app" - as in application rather than appetite - that is not on the drawing board.

The architecture software scene was long dominated by Windows. But these days, there are plenty of options for die-hard Mac users - whether they're looking for user-friendly 3D design software or a BIM platform with all the technical bells and whistles.To get more news about architectural cad software, you can visit shine news official website.

In this article, we'll go over some key things that Mac users should consider when searching for architecture design software, and look at 9 of the best tools in the game - with options for home builders, CAD pros, beginners, and everyone in between.

How to Choose the Best Architect Software for Mac
While there may be other variables that will influence this decision, here are some of the most important factors to consider when choosing architecture software for your business.
Ease of use
Ease of use is a big one. See, architecture software runs the gamut from the basic to the super advanced.

On one end of the spectrum, you'll find drag-and-drop applications that feel more like a children's game than a tool for professional architects. On the other, there are advanced CAD/BIM platforms that may require some formal training (and a lot of time) to learn.

Ultimately, you'll want to find something that makes your life easier. So, you'll want to weigh your technical experience against your goals for this investment, as well as what you can realistically expect your team to learn within a reasonable timeframe.

Cost
Figuring out how much you're willing and able to spend on a new solution as early as possible can prevent you from wasting time evaluating options that are too expensive and overpowered - as well as those that don't offer the robust feature suite you need to achieve your business goals.

Feature set
Before you kick off your search, make a list of the features/capabilities you're looking for.

For starters, ask yourself if you'll need a complete CAD solution or 3D design software? CAD software caters to the needs of professional architects, engineers, and industrial designers - these programs often include a number of 3D design tools but the real selling point is the emphasis on technical documentation, planning, and modeling.

3D design software, on the other hand, focuses primarily on the creative aspects of home design. Think - floor plans, 3D renderings, virtual tours, etc.

Some users may opt for both. CAD software is often quite complex and requires a lot of computing power. Meaning, it's not always the most practical solution to bring to site visits or client meetings. 3D home design software like Cedreo allows architects to update designs in real-time, confirm changes, and get the approvals needed to move forward with a project. Additionally, architects can use the platform as a sales tool - to win proposals, promote the business on social media, or showcase their work on their website.
Cloud based
Cloud native apps have become standard fare - across all industries and business functions - for a couple key reasons. For one, business, in general, has become much more data-driven in recent years and cloud-based software is better equipped to provide real-time insights than its on-prem counterparts.

Cloud-based tools also support real-time data syncing- ensuring that everyone involved in a project is working with the latest insights and the most recent version of each project.
Collaboration
The next thing you'll want to consider is what kind of collaboration capabilities you'll need. Is it easy to share files with colleagues, clients, and other stakeholders? Are there built-in search capabilities, automated approval flows, or version controls? What about mobile support? Data syncing?

Support
Finally, you'll want to find out what kind of support prospective vendors have to offer. While this may seem like something of an afterthought, support is a big deal, particularly if you're looking at some of the more complex options on our list. As you start evaluating options, make sure you check out the platform's self-service options - i.e. do they have a comprehensive knowledge base, video tutorials, or a community forum? What about live support? Does the company provide live training? What kind of support do they offer during onboarding? Or if you run into trouble some time down the line?