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Abstract--In robotic hand research, minimizing the number of actuators while maintaining human-hand-consistent dimensions and degrees of freedom constitutes a fundamental challenge. Drawing bio-inspiration from human hand kinematic configurations and muscle distribution strategies, this work proposes a novel 15-DoF dexterous robotic hand, with detailed analysis of its mechanical architecture, electrical system, and control system. The bionic hand employs a new tendon-driven mechanism, significantly reducing the number of motors required by traditional tendon-driven systems while enhancing motion performance and simplifying the mechanical structure. This design integrates five motors in the forearm to provide strong gripping force, while ten small motors are installed in the palm to support fine manipulation tasks. Additionally, a corresponding joint sensing and motor driving electrical system was developed to ensure efficient control and feedback. The entire system weighs only 1.4kg, combining lightweight and high-performance features. Through experiments, the bionic hand exhibited exceptional dexterity and robust grasping capabilities, demonstrating significant potential for robotic manipulation tasks. HE development of actuator systems with human-level dexterity presents significant challenges [1], [2], stemming from the bio-integrated nature of the human hand: it is not an isolated entity but a highly coupled system intricately connected through skeletal-muscular-neural networks to the forearm, forming a synergistic functional unit.

New prosthetic arms combine artificial intelligence, machine learning and advanced sensor systems. If you've ever wondered what's next for prosthetic technology, you're not alone. For many people living with limb loss, finding a prosthetic that feels natural and works seamlessly with their body has always been a challenge. Now, a California startup called Atom Bodies is making headlines for its groundbreaking approach to prosthetic technology. By combining artificial intelligence, machine learning and advanced sensor systems, Atom Bodies is developing mind-controlled robotic arms that could soon make highly advanced prosthetics accessible to thousands of amputees.

Our research investigates vibrotactile perception in four prosthetic hands with distinct kinematics and mechanical characteristics. We found that rigid and simple socket-based prosthetic devices can transmit tactile information and surprisingly enable users to identify the stimulated finger with high reliability. This ability decreases with more advanced prosthetic hands with additional articulations and softer mechanics. We conducted experiments to understand the underlying mechanisms. We assessed a prosthetic user's ability to discriminate finger contacts based on vibrations transmitted through the four prosthetic hands. We also performed numerical and mechanical vibration tests on the prostheses and used a machine learning classifier to identify the contacted finger. Our results show that simpler and rigid prosthetic hands facilitate contact discrimination (for instance, a user of a purely cosmetic hand can distinguish a contact on the index finger from other fingers with 83% accuracy), but all tested hands, including soft advanced ones, performed above chance level. Despite advanced hands reducing vibration transmission, a machine learning algorithm still exceeded human performance in discriminating finger contacts. These findings suggest the potential for enhancing vibrotactile feedback in advanced prosthetic hands and lay the groundwork for future integration of such feedback in prosthetic devices.

The Mia Hand is a smart device that can sense the environment and adjust its grip accordingly. It can perform five different types of grasps, such as pinch, power, precision, lateral and extension. Imagine losing your hand in an accident and having to live with a prosthetic limb that is clumsy, uncomfortable and limited in functionality. That is the reality for millions of people around the world who suffer from amputation or congenital limb deficiency. But what if there was a way to restore the natural sensation and movement of your hand using a bionic device that is connected to your nervous system and adapts to your needs?

As Verne understood, the U.S. Civil War (during which 60,000 amputations were performed) inaugurated the modern prosthetics era in the United States, thanks to federal funding and a wave of design patents filed by entrepreneurial prosthetists. The two World Wars solidified the for-profit prosthetics industry in both the United States and Western Europe, and the ongoing War on Terror helped catapult it into a US $6 billion dollar industry across the globe. This recent investment is not, however, a result of a disproportionately large number of amputations in military conflict: Around 1,500 U.S. soldiers and 300 British soldiers lost limbs in Iraq and Afghanistan. Limb loss in the general population dwarfs those figures. A much smaller subset--between 1,500 to 4,500 children each year--are born with limb differences or absences, myself included.

A Texan man has built his own bionic hand using artificial intelligence (AI) after three years of research. After finding most bionic hands can cost up to $150,000, Ryan Saavedra, 27, set out to create one at a fraction of the cost. The prosthetic he created, called the Globally Available Robotic Arm (GARA), measures electrical activity of muscle tissue – a method called electromyography (EMG) – and combines this with AI to predict hand movements. When attached to the limb of an amputee, it is capable of intuitive finger movements and clasping objects such as cups. Saavedra's company, Alt-Bionics, has already made a prototype that costs less than $700 (£520) to produce, and is now working to commercialise the device.

A British teenager born with only one hand is learning to ride a bike after being fitted with the world's first medically-certified 3D-printed bionic hand. Fourteen-year-old Aimee Ashton, a talented art student from Hull, was born with part of her arm missing and no left hand. Aimee had previously used prosthetic arms but stopped using them because'they didn't do anything' and weren't responsive to movement. But she has since been fitted with the'Hero Arm', developed by Bristol-based company Open Bionics, which costs around £10,000. The battery-powered arm picks up signals from muscles allowing the user to do tasks with both hands.

A bionic arm capable of handling eggs and playing the piano developed to mimic the human hand could'speed up the introduction of robots into our every day lives'. Developer Dr Hyunmin Do from the Korea Institute of Machinery and Materials says the incredibly dexterous hand is also able to pour water and handle scissors. The device consists of four fingers, each with three joints - making them as flexible as a human hand but with a stronger grip. It uses 12 motors to enable it to move in various directions and the grip can be changed depending on the item it is holding or manipulating. The team say it could be used in factories or industry and will allow robots to'physically interact with the world in a more meaningful way'.

A heartwarming video has revealed the moment a three-year-old boy tries out a bionic arm for the first time. Giulio Spaziana, from Pomezia, Italy, was born without a forearm or hand on his right side. But doctors have now fitted him with a prosthetic limb which he can control using his electrical signals from his brain as though it were a real hand. In moving footage, he is seen grinning as he opens and closes the hand in a grabbing motion and shows off to his mother when he picks up a ruler unassisted. In a video filmed by his mother Giulio can be seen grinning as he uses the new prosthetic to pick up a ruler in the doctor's office – he asks his doctor: 'Can I keep it?'