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Robots that feel pain react faster than humans

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Robots that feel pain react faster than humans

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Touch something hot, and your hand snaps back before you even think. That split second matters.

Sensory nerves in your skin send a rapid signal to your spinal cord, which triggers your muscles right away. Your brain catches up later. Most robots cannot do this. When a humanoid robot touches something harmful, sensor data usually travels to a central processor, waits for analysis and then sends instructions back to the motors. Even tiny delays can lead to broken parts or dangerous interactions. 

As robots move into homes, hospitals and workplaces, that lag becomes a real problem.

A robotic skin designed to mimic the human nervous system

Scientists at the Chinese Academy of Sciences and collaborating universities are tackling this challenge with a neuromorphic robotic e-skin, also known as NRE-skin. Instead of acting like a simple pressure pad, this skin works more like a human nervous system. Traditional robot skins can tell when they are touched. They cannot tell whether that touch is harmful. The new e-skin can do both. That difference changes everything.

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A humanoid robot equipped with neuromorphic e-skin reacts instantly to harmful touch, mimicking the human nervous system to prevent damage and improve safety. (Eduardo Parra/Europa Press via Getty Images)

How the neuromorphic e-skin works

The e-skin is built in four layers that mirror how human skin and nerves function. The top layer acts as a protective outer covering, similar to the epidermis. Beneath it sit sensors and circuits that behave like sensory nerves. Even when nothing touches the robot, the skin sends a small electrical pulse to the robot every 75 to 150 seconds. This signal acts like a status check that says everything is fine. When the skin is damaged, that pulse stops. The robot immediately knows where it was injured and alerts its owner. Touch creates another signal. Normal contact sends neural-like spikes to the robot’s central processor for interpretation. However, extreme pressure triggers something different.

How robots detect pain and trigger instant reflexes

If force exceeds a preset threshold, the skin generates a high-voltage spike that goes straight to the motors. This bypasses the central processor entirely. The result is a reflex. The robot can pull its arm away instantly, much like a human does after touching a hot surface. The pain signal only appears when the contact is truly dangerous, which helps prevent overreaction. This local reflex system reduces damage, improves safety and makes interactions feel more natural.

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ROBOTS LEARN 1,000 TASKS IN ONE DAY FROM A SINGLE DEMO

Scientists developed a robotic skin that can detect pain and trigger reflexes without waiting for a central processor to respond. (Han Suyuan/China News Service/VCG via Getty Images)

Self-repairing robotic skin makes fixes fast

The design includes another clever feature. The e-skin is made from magnetic patches that fit together like building blocks. If part of the skin gets damaged, an owner can remove the affected patch and snap in a new one within seconds. There is no need to replace the entire surface. That modular approach saves time, lowers costs and keeps robots in service longer.

Why pain-sensing skin matters for real-world robots

Future service robots will need to work close to people. They will assist patients, help older adults and operate safely in crowded spaces. A sense of touch that includes pain and injury detection makes robots more aware and more trustworthy. It also reduces the risk of accidents caused by delayed reactions or sensor overload. The research team says their neural-inspired design improves robotic touch, safety and intuitive human-robot interaction. It is a key step toward robots that behave less like machines and more like responsive partners.

What this technology means for the future of robots

The next challenge is sensitivity. The researchers want the skin to recognize multiple touches at the same time without confusion. If successful, robots could handle complex physical tasks while staying alert to danger across their entire surface. That brings humanoid robots one step closer to acting on instinct.

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ROBOT STUNS CROWD AFTER SHOCKING ONSTAGE REVEAL

A new e-skin design allows robots to pull away from dangerous contact in milliseconds, reducing the risk of injury or mechanical failure. (CFOTO/Future Publishing via Getty Images)

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Kurt’s key takeaways

Robots that can feel pain may sound unsettling at first. In reality, it is about protection, speed and safety. By copying how the human nervous system works, scientists are giving robots faster reflexes and better judgment in the physical world. As robots become part of daily life, those instincts could make all the difference.

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Would you feel more comfortable around a robot if it could sense pain and react instantly, or does that idea raise new concerns for you? Let us know by writing to us at Cyberguy.com.

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Bill Gates says accusations contained in Epstein files are ‘absolutely absurd’

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Bill Gates says accusations contained in Epstein files are ‘absolutely absurd’

Reports of Bill Gates’ connections with Jeffrey Epstein grow more lurid with each dump of documents from the Department of Justice. The latest includes somewhat confusing emails that Epstein may have been drafting on behalf of someone named Boris, who worked at the Bill & Melinda Gates Foundation. The messages claim that Bill contracted an STD and wanted to “surreptitiously” give Melinda antibiotics. It also claims that Bill had “trysts” with married women and “Russian girls.”

“These claims are absolutely absurd and completely false. The only thing these documents demonstrate is Epstein’s frustration that he did not have an ongoing relationship with Gates and the lengths he would go to entrap and defame.”

It’s unclear who the Boris referenced in the emails is, or if the messages were ever sent to anyone. Only Epstein is listed in the to and from fields.

Gates’ relationship with Epstein has become a major issue for the billionaire philanthropist. He initially downplayed his connections, but documents have suggested the two were closer than Gates admitted. He has repeatedly denied associating with Epstein outside of fundraising and philanthropic efforts and said their meetings were a “huge mistake.” However, Melinda Gates has stated that Bill’s association with Epstein played a role in her decision to file for divorce.

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AI wearable helps stroke survivors speak again

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AI wearable helps stroke survivors speak again

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Losing the ability to speak clearly after a stroke can feel devastating. For many survivors, the words are still there in their minds, but their bodies will not cooperate. Speech becomes slow, unclear or fragmented. This condition, known as dysarthria, affects nearly half of all stroke survivors and can make everyday communication exhausting. Now, researchers believe they may have found a better way forward. Scientists at the University of Cambridge have developed a wearable device called Revoice. It is designed to help people with post-stroke speech impairment communicate naturally again without surgery or brain implants.

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A soft, flexible choker like this houses Revoice’s sensors, which read subtle throat vibrations to help reconstruct speech in real time. (University of Cambridge)

Why dysarthria makes recovery so hard

Dysarthria is a physical speech disorder. A stroke can weaken the muscles in the face, mouth and vocal cords. As a result, speech may sound slurred, slow or incomplete. Many people can only say a few words at a time, even though they know exactly what they want to say. According to professor Luigi Occhipinti, that disconnect creates deep frustration. Stroke survivors often work with speech therapists using repetitive drills. These exercises help over time, but open-ended conversation remains difficult. Recovery can take months or even longer, which leaves patients struggling during daily interactions with family, caregivers and doctors.

How the Revoice device works

Revoice takes a very different approach. Instead of asking users to type, track their eyes or rely on implants, the device reads subtle physical signals from the throat and neck. It looks like a soft, flexible choker made from breathable, washable fabric. Inside are ultra-sensitive textile strain sensors and a small wireless circuit board. When a user silently mouths words, the sensors detect tiny vibrations in the throat muscles. At the same time, the device measures pulse signals in the neck to estimate emotional state.

Those signals are processed by two artificial intelligence (AI) agents:

  • One reconstructs words from mouthed speech
  • The other interprets emotion and context to build complete sentences

Together, they allow Revoice to turn a few mouthed words into fluent speech in real time.

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This diagram shows how Revoice combines throat muscle signals and pulse data with AI to turn silently mouthed words into full, expressive sentences in real time. (University of Cambridge)

Why this AI approach is different

Earlier silent speech systems had serious limits. Many were tested only on healthy volunteers. Others forced users to pause for several seconds between words, which made the conversation feel unnatural. Revoice avoids those delays. It uses an AI-driven throat sensor system paired with a lightweight language model. Because the model runs efficiently, it uses very little power and delivers near-instant responses. The device is powered by a 1,800 mWh battery, which researchers expect will last a full day on a single charge.

What early trials revealed

After refining the system with healthy participants, researchers tested Revoice with five stroke patients who had dysarthria.

The results were striking:

  • Word error rate: 4.2%
  • Sentence error rate: 2.9%

In one example, a patient mouthed the phrase “We go hospital.” Revoice expanded it into a complete sentence that reflected urgency and frustration, based on emotional signals and context. Participants reported a 55% increase in satisfaction and said the device helped them communicate as fluently as they did before their stroke.

PARALYZED MAN WALKS AGAIN AFTER EXPERIMENTAL DRUG TRIAL TRIGGERS REMARKABLE RECOVERY

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This figure breaks down the Revoice hardware and AI pipeline, showing how strain sensors, wireless electronics, and emotion decoding work together to reconstruct natural speech. (University of Cambridge)

Beyond stroke recovery

Researchers believe Revoice could also help people with Parkinson’s disease and motor neuron disease. Because the device is comfortable, washable, and designed for daily wear, it could fit into real-world routines rather than being confined to clinics. Before that can happen, larger clinical trials are required. The research team plans to begin broader studies with native English-speaking patients and hopes to expand the system to support multiple languages and a wider range of emotional expressions. The findings were published in the journal Nature Communications.

What this means for you

If you or someone you care for has experienced a stroke, this research points to a major shift in recovery tools. Revoice suggests that speech assistance does not need to be invasive to be effective. A wearable solution could support communication during the most difficult months of rehabilitation, when confidence and independence often suffer the most. It may also reduce stress for caregivers who struggle to understand incomplete or unclear speech. Clear communication can improve medical care, emotional well-being and daily decision-making.

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Kurt’s key takeaways

Communication is tied closely to dignity and independence. For stroke survivors, losing that ability can be one of the hardest parts of recovery. Revoice shows how artificial intelligence and wearable tech can work together to restore something deeply human. While it is still early, this device represents a meaningful step toward making recovery feel less isolating and more hopeful.

If a simple wearable could help restore natural speech, should it become a standard part of stroke rehabilitation? Let us know by writing to us at Cyberguy.com

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Nvidia CEO denies he’s ‘unhappy’ with OpenAI

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Nvidia CEO denies he’s ‘unhappy’ with OpenAI

“We are going to make a huge investment in OpenAI. I believe in OpenAI, the work that they do is incredible, they are one of the most consequential companies of our time and I really love working with Sam,” he said, referring to OpenAI CEO Sam Altman.

“Sam is closing the round (of investment) and we will absolutely be involved,” Huang added. “We will invest a great deal of money, probably the largest investment we’ve ever made.”

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