Archive 08.01.2025

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ANYbotics ANYmal robot is addressing key challenges in Industrial Robotics

The ANYmal robot addresses key challenges in industrial operations by offering autonomous, highly mobile inspection capabilities in complex and hazardous environments. Its four-legged design enables navigation through uneven terrains, stairs, and confined spaces.

Quadrotors support enhanced locomotion in a new bipedal robot

Humans and animals are the key inspiration for many robotic systems developed to date, as they possess body structures that innately support efficient locomotion. While many bipedal (i.e., two-legged) robots are humanoids, meaning that their body resembles that of humans, others draw inspiration from other animals that walk on two legs, such as ostriches and some other birds.

Close, But No Cigar

ChatGPT Can Approximate — But Not Completely Mimic — Your Writing Style

Here’s the truth: While ChatGPT can mimic your writing style to some extent, the AI is not yet able to offer you an exact, 100% match of the way you choose your words — at least for now.

That said, unless you’re a professional writer — or someone who simply loves words with abandon — you may be perfectly satisfied with a quick, down-and-dirty prompt that mimics the broad strokes of your writing style in a ‘good enough’ way.

For example, if you’re not overly picky, you can use a down-and-dirty, write-like-me prompt using these words: “You are a world-class writer — with an irreverent sense of humor — known for clear, concise, colorful prose. Please rewrite the text following the colon using no less than 300 words and no more than 315 words:”

Such a prompt should be more than adequate for you –unless you’ve found yourself unable to sleep some nights because you’re tortured by a phrase you know should have been written just a bit differently.

Essentially: If you are among the easy-going-ilk, you can use the above prompt — or something similarly brief that better reflects your writing style– skip the rest of this post and saunter happily away, snickering at the rest of us.

However, if you’re like me and you often derive a deep, dark, twisted — and some might say concerningly disturbed — pleasure in agonizing over the wording, feel, cadence or some other highly esoteric feature associated with a single sentence, a single phrase — or even a single word — I’m afraid a down-and-dirty prompt won’t work for you.

Put another way: If you’ve suffered the fate of being a ‘born writer’ or a ‘born word-lover,’ you’ll need a much more sophisticated prompt to get you within shouting distance of what you consider to be your highly personal writing style.

For the record, the reason why ChatGPT is not yet able to offer you an exact, 100% match of your writing style is rooted in the method the AI uses to learn your writing style.

Specifically: ChatGPT learns to mimic your writing style by:

*Analyzing one or more samples of your writing

*Assembling of a list of generalized descriptors that it believes characterizes your work

*Referring to that list of generalized descriptors when you ask it to auto-write an email — or other text — in your writing style

The problem with ChatGPT’s approach: While resorting to assembling a list of general descriptors to characterize your writing style takes a decent stab at defining a highly personal writing style, its methodology unfortunately falls short — by its inherent design — of being able to fully mimic a highly personal writing style.

For example, ChatGPT may analyze a number of examples of your writing and conclude that one of its key features is that it’s ‘witty.’

But the problem with that descriptor is that witty is a generic term that applies to any number of variations of wit.

Robin Williams is witty.

But so is Mae West, George Carlin, Maria Bamford, Dave Chapelle, Ali Wong, Ricky Gervais, Amy Schumer and Eddie Izzard.

But as we all know, no one would ever mistake the wit of Robin Williams for the wit of Maria Bamford, confuse Dave Chappelle with Ali Wong, or listen to Amy Schumer and think, “Hmm, she sounds just like Eddie Izzard.”

Each of these world-famous comedians have etched their unique, comic perspectives on the world.

And that is the reason, in great part, why these masters of wit are so famous: They are witty like no one else on earth.

Unfortunately, this problem of using the generalized descriptor of ‘witty’ is compounded exponentially by the fact that ChatGPT also uses other, equally general and equally generic descriptors of your writing after reading a few samples of what you consider to be your best stuff.

For example: After analyzing your writing, ChatGPT may also conclude that your highly personal writing style is gripping, evocative, persuasive, authoritative — as well as any number of other adjectives that can be used to characterize what you’ve written.

And again, those descriptors do get ChatGPT closer to describing your singular, highly personal writing style.

But in the real world, as we know — and as we’ve seen with the characterization of ‘witty’ — there are countless shades of meaning that these descriptors are attempting to capture.

That said, with the right prompt that you personally fabricate, ChatGPT can still offer you a decent approximation of your writing style — which you can use as a strong draft of text that you subsequently polish.

Plus, given that ChatGPT has become increasingly more powerful and more refined with each new revision, there’s a chance that someday, ChatGPT may become so powerful and so perceptive, it may in fact be able to analyze your writing style with an unmatched, piercing, nano-focused insight — and then mimic your highly personalized writing style with breathtaking precision.

In the meantime, the good news is that getting ChatGPT to auto-write in a style that is a reasonable approximation of your writing style is fairly straightforward.

Here’s a quick summary of the steps:

Step One: Ask ChatGPT to analyze one or more samples of your writing style and generate a prompt to be used to mimic your writing style (which you’ll refine further).

Step Two: Take note of the descriptors ChatGPT uses in its report to you that serve as the basis of the prompt it created.

Step Three: Ask ChatGPT to run a second analysis of the descriptor categories it missed that you’d like included in its characterization of your writing style.

Step Four: Edit ChatGPT’s prompt to your liking.

Step Five: Test the prompt.

Step Six: Revise the prompt as needed.

Give it a shot — and then when ChatGPT comes out with its promised upgrade early this year, give it another shot.

You may get much better results the second time around.

Share a Link:  Please consider sharing a link to https://RobotWritersAI.com from your blog, social media post, publication or emails. More links leading to RobotWritersAI.com helps everyone interested in AI-generated writing.

Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.

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The post Close, But No Cigar appeared first on Robot Writers AI.

Robotic gripper mimics human hand to move multiple objects together

A research team from Seoul National University has proposed a gripper capable of moving multiple objects together to enhance the efficiency of pick-and-place processes, inspired by humans' multi-object grasping strategy. The gripper not only transfers multiple objects at once but also places individual objects at desired locations. The study, which analyzed human motion principles and successfully applied them to a robotic gripper, is published in the journal Science Robotics.

Robots can now walk through muddy and slippery terrain, thanks to moose-like feet

Roboticists at the Tallinn University of Technology (TalTech) have developed a new class of bio-inspired feet that significantly enhance robot mobility on challenging terrains like mud and wet snow. The findings, published in Bioinspiration & Biomimetics, could expand the capabilities of robots, allowing them to navigate in complex natural terrains to conduct sensitive environmental monitoring, aid in agriculture and participate in disaster response.

Scientists uncover advanced manufacturing strategies for piezoelectric and triboelectric tactile sensors

Piezoelectric and triboelectric tactile sensors are designed to convert mechanical stimuli into electrical signals, making them critical components in intelligent systems. Piezoelectric sensors leverage voltage generation through mechanical stress in non-centrosymmetric materials, such as quartz and polyvinylidene fluoride (PVDF), while triboelectric sensors operate on contact-induced charge transfer.

How does a hula hoop master gravity? Mathematicians prove that shape matters

Hula hooping is so commonplace that we may overlook some interesting questions it raises: 'What keeps a hula hoop up against gravity?' and 'Are some body types better for hula hooping than others?' A team of mathematicians explored and answered these questions with findings that also point to new ways to better harness energy and improve robotic positioners.

Artificial intelligence: Algorithms improve medical image analysis

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis. The seven best autoPET teams report on how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT).

iPhone SE 4: A Bold Leap or a Confusing Rebrand?

The rumor mill is abuzz with speculation about Apple’s next budget-friendly smartphone. Dubbed the iPhone SE 4, or possibly rebranded as the iPhone 16E, this device is poised to receive its most significant upgrade yet. With whispers of a modernized design, advanced features, and a controversial name change, let’s dive into what this could mean...

The post iPhone SE 4: A Bold Leap or a Confusing Rebrand? appeared first on 1redDrop.

Robot with LiDAR laser explores danger zones

Robot systems explore unfamiliar terrain, buildings or danger zones with cameras. In the 3D-InAus project, researchers from the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE are using a LiDAR laser on a mobile robot, emitting laser pulses to measure distances. The results are used to produce geometrically accurate 3D environments.
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