Imagine slipping on a pair of shorts that could make walking feel like a breeze, almost as if you've instantly shed 20 pounds. Sounds too good to be true, right? Well, get ready to have your mind blown! Scientists at the Technical University of Munich have cooked up something that might just change the game for anyone who's ever wished walking was a little easier.

They call it the WalkON system, a pair of high-tech shorts that's not your average gym wear. These bad boys can cut down the energy you need for a stroll or jog by up to 18%! Whether you're a spring chicken or in your golden years, these shorts could be a game-changer, especially if stairs have become your nemesis or long walks leave you winded.

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The WalkON system combines sensors, artificial tendons and smart motors to enhance your natural walking motion. It starts with advanced sensors embedded in the shorts that continuously monitor the stress on your tendons. These sensors are incredibly precise, picking up on subtle changes in your movement, including how fast you’re walking and the angle of your hips.

Connected to these sensors are two thin artificial tendons that extend from your thighs to a specially designed waist belt. These tendons play a crucial role in how the system assists you. When you start to walk, the shorts analyze your gait pattern and can even detect the moment you transition from standing to walking. As each leg enters the "swing phase," the system knows exactly when to kick in.

At just the right moment, small but powerful motors activate and gently pull on the artificial tendons. This action helps lift your thigh, reducing the effort needed by your hip flexor muscles, making it feel much easier to move. What’s really impressive is how adaptable WalkON is; whether you prefer a slow stroll or a brisk jog, the system adjusts its level of assistance based on your speed and leg weight. All of this happens seamlessly, so you experience a natural enhancement to your movement rather than feeling like you’re being pushed or pulled by a machine.

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EXOSKELETON HELPS PARALYZED PEOPLE REGAIN INDEPENDENCE

The WalkON system significantly reduces energy expenditure by 18% for young people walking uphill. For older individuals walking on level ground, it decreases energy expenditure by 10%. This reduction in energy expenditure is equivalent to the feeling of instantly losing 22 pounds or 13 pounds, respectively. The system allows you to walk slowly or jog, providing versatility in movement. Participants in tests reported high satisfaction with the device, giving it a mean rating of 6 out of 7 for its ability to assist while maintaining a sense of control.

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The WalkON system can benefit anyone seeking to increase their mobility; however, it shows particular promise for older adults who may experience declining physical capabilities. Additionally, individuals weakened by illness can find significant advantages in using WalkON to enhance their mobility and independence. Furthermore, the device is designed for those looking to maintain an active and healthy lifestyle, making it a versatile solution for a wide range of users.

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Unlike traditional rigid exoskeletons, WalkON's soft, flexible design offers several advantages over its more cumbersome counterparts. Conventional exoskeletons often feature rigid frames that can be difficult and time-consuming to put on, limiting their practicality for daily use.

In contrast, WalkON's soft robotic shorts can be put on quickly and easily, similar to regular clothing, and are more than a mechanical device. Professor Lorenzia Masia, the lead researcher, aptly compares WalkON to an electric bike for walking. This analogy highlights the system's ability to enhance natural movement without overpowering it, making mobility more accessible and appealing to a wider range of users. The lightweight, tendon-driven design of WalkON allows for a more natural range of motion, adapting to the user's movements rather than constraining them.

Furthermore, WalkON's compact and unobtrusive nature addresses a common concern with exoskeletons: social acceptance. Its design allows it to be worn discreetly under regular clothing, potentially increasing user comfort in social situations. This feature, combined with its efficiency in reducing metabolic cost, positions WalkON as a more practical solution for everyday use compared to bulkier exoskeleton systems.

Given the current stage of development and testing, it's likely that WalkON could be available to you within the next three to five years, pending further research and regulatory approvals.

While no exact price point is yet available, we can compare it to other assistive technologies. Current exoskeletons can cost anywhere from $40,000 to $100,000-plus. However, given WalkON's simpler design and intended widespread use, it's possible that it could be priced more affordably, perhaps in the range of $5,000 to $15,000 when it first hits the market. As with many technologies, the price could decrease over time as production scales up.

The WalkON system's potential to enhance mobility for people of all ages, particularly older adults and those with health challenges, is immense. By making movement easier and more efficient, WalkON could encourage more active lifestyles, potentially improving overall health and quality of life for many individuals. While questions about availability and cost remain, the development of WalkON is a promising sign that we're moving towards more accessible and user-friendly mobility assistance solutions.

If you could design your own mobility assistance device, what features or capabilities would you include and why? Let us know by writing us at Cyberguy.com/Contact.

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Imagine having a personal tennis coach who never gets tired, always hits the perfect shot, adapts to your skill level and is available 24/7. 

Enter the PongBot, a groundbreaking artificial intelligence-powered tennis robot that's turning heads in the tennis world. 

This isn't just another ball-serving machine; it's a smart training partner designed to elevate your tennis game.

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The PongBot comes with a clever clip-on sensor that tracks your position on the court. This sensor ensures that the PongBot can deliver shots tailored to your exact position, simulating the dynamic nature of a real tennis match. Additionally, this technology enables the AI match training feature to adjust ball speed and spin in real time, providing a highly immersive and challenging training experience.

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Want a personalized training experience? The PongBot app lets you create custom drills down to the individual ball level. Imagine programming a sequence like a deep forehand return, followed by a short backhand, two volleys and an overhead shot — all saved and ready for your next practice session. The PongBot offers up to 300 preprogrammed drills with three difficulty levels. Whether you're a beginner or a seasoned player, there's a drill that'll challenge you just right.

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The real game-changer is the AI match training feature. The robot continuously reads your court position and analyzes your performance, adjusting ball speed and spin to simulate real match conditions. It's like having a smart opponent who knows exactly how to push your limits.

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The PongBot isn't just smart, it's powerful. It can serve balls at up to 80 mph with various spin types (topspin, underspin or no spin), reaching up to 60 rotations per second. With a ball capacity of 150 and a battery life of eight hours, you'll have plenty of time for an intense training session.

What truly sets the PongBot apart is its ability to integrate with the broader tennis technology ecosystem. It works seamlessly with smart devices like intelligent rackets and can sync performance data with the Apple Watch. The over-the-air updates promise continuous improvement, ensuring your training tool stays cutting-edge.

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The PongBot's journey began on Kickstarter, where it far exceeded its initial goal of just $10,000. This overwhelming support showcases not only the demand for innovative training solutions but also confidence in the creators behind this project. Early backers still have the chance to snag some fantastic deals. You can get the Pace S for about $699 or the Pro model for $899.

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Despite some caution often associated with crowdfunding platforms, potential backers can feel secure in their investment here; the team behind PongBot has solid backing from Qualcomm and experience in creating impressive robotics technology. If everything goes according to plan, backers can expect their machines to ship by December — just in time for some serious off-season training.

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By combining AI, smart sensors and adaptive training modes, PongBot offers tennis players an unprecedented opportunity to improve their game. Backed by Qualcomm and created by robotics experts who've already impressed the tech world with ping-pong robots, the PongBot isn't just another crowdfunding project. It's a serious training tool for players who are serious about improving their tennis game.

Would you feel comfortable using a robotic training partner like the PongBot to enhance your tennis skills? Let us know by writing us at Cyberguy.com/Contact

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In a groundbreaking development, researchers at Johns Hopkins University (JHU) and Stanford University have successfully trained a robotic surgical system to perform complex tasks with the skill of human doctors. 

This achievement marks a significant step toward autonomous robotic surgery, potentially transforming the future of medical procedures.

The team utilized a da Vinci Surgical System, a robotic platform typically controlled remotely by surgeons. Using a machine learning technique called imitation learning, they trained the system to perform three critical surgical tasks: manipulating a needle, lifting body tissue and suturing.

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What sets this approach apart is the training method. Instead of painstakingly programming each movement, the robot learned by watching hundreds of videos recorded from wrist-mounted cameras on da Vinci robots during actual surgical procedures. This method allows the robot to learn from the collective experience of numerous skilled surgeons, potentially surpassing the capabilities of any single human operator.

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The researchers developed an AI model that merges imitation learning with the machine learning architecture used in popular language models like ChatGPT. However, this model operates in the language of robotics — kinematics — translating visual input into precise robotic movements. This sophisticated approach allows the system to understand and replicate complex surgical maneuvers with remarkable accuracy.

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The surgical system not only executed tasks as proficiently as human surgeons but also demonstrated the ability to correct its own mistakes. As Axel Krieger, assistant professor at JHU, noted, "Like if it drops the needle, it will automatically pick it up and continue. This isn't something I taught it to do." This level of autonomy and adaptability is crucial in surgical settings where unexpected situations can arise. The robot's ability to problem-solve and adjust its actions in real time could potentially reduce complications and improve patient outcomes.

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This breakthrough could significantly speed up the development of autonomous surgical robots. Traditional methods of programming robots for surgery are time-consuming and limited in scope. With this new approach, Krieger explains, "We only have to collect imitation learning of different procedures, and we can train a robot to learn it in a couple days." This rapid learning capability opens up possibilities for quickly adapting surgical robots to new procedures or techniques, potentially revolutionizing the field of robotic surgery.

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The JHU team is now working on expanding this technology to train robots to perform complete surgical procedures. While fully autonomous robotic surgery may still be years away, this innovation paves the way for safer and more accessible complex treatments worldwide. The ability to train robots on entire surgical procedures could lead to standardized, high-quality surgical care even in areas lacking specialized surgeons.

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By harnessing the power of AI and imitation learning, we're witnessing the birth of surgical robots that can learn and adapt much like human surgeons. As this technology continues to evolve, it holds the promise of reducing medical errors, increasing surgical precision, and potentially making advanced surgical procedures available to more patients globally. While there are still challenges to overcome, including ethical considerations and regulatory approvals, the future of AI-assisted and autonomous robotic surgery looks increasingly promising.

Would you feel comfortable undergoing surgery performed by a robotic system trained using AI and imitation learning? Let us know by writing us at Cyberguy.com/Contact

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