1. Home
  2. Detail

@k____n69: #تصويري_احترافي #عطوني رايكم #مالي_خلق_احط_هاشتاقات🧢

:آمِـــــيࢪ 𝑨𝑴𝑬𝑹:
:آمِـــــيࢪ 𝑨𝑴𝑬𝑹:
Open In TikTok:
Region: US
Monday 05 May 2025 19:40:59 GMT
24
9
0
0

Music

Download

No Watermark .mp4 (1.64MB) Watermark .mp4 (1.69MB) Music .mp3

Comments

There are no more comments for this video.
To see more videos from user @k____n69, please go to the Tikwm homepage.

Other Videos

Unitree vs Xiaomi: Who is building the better robotic hand? Humanoid robots are getting attention for their walking skills, but their hands deserve just as much attention. Two developments from China show how much work is going into dexterous robotic manipulation. Unitree has introduced the Dex5-S, a human-sized robotic hand with 22 degrees of freedom. Xiaomi has also unveiled a bionic hand with 21 degrees of freedom, 26 hybrid-drive motors and 1,500 tactile sensing points across the palm. Both designs are worth watching. The real test will be what they can do with everyday objects. 🦾 UNITREE DEX5-S Unitree's Dex5-S has 22 degrees of freedom, with all 22 joints actively controlled, according to the company. The hand is designed around human-hand proportions. Unitree lists a starting price of around $6,350 on its official store. A high number of degrees of freedom gives the controller more ways to position individual fingers. That can help with complex grasps and finger movements, although the number alone does not tell us how well the hand performs. I would test it with small components, tools and objects that require different grip angles. I would also check how well it maintains a grip when an object shifts. Explore more robotics updates: https://techniahqrobot.com 🤖 XIAOMI'S BIONIC HAND On October 27, Xiaomi unveiled a bionic dexterous hand with 21 degrees of freedom. The design uses 26 hybrid-drive motors and 1,500 high-density tactile sensing points across the palm. Xiaomi says the hand's configuration was informed by 1,827 real-world standard operating procedures from the pilot centre of its automobile intelligent manufacturing department. That manufacturing context is worth paying attention to. Industrial tasks often involve repeated movements, small parts and objects that must be held in a specific position. Tactile sensing could help a robot detect contact and adjust its grip. I would like to see how those sensors perform during actual manipulation, especially when an object is slippery, fragile or slightly out of position. More robotics news and analysis: https://x.com/techniahqrobot 🔬 WHAT SHOULD A FAIR TEST LOOK LIKE? Comparing robotic hands requires more than counting motors or degrees of freedom. Here are five tests I would run on both systems: 1. Precision grasping: Pick up screws, small components and other objects without knocking them over. 2. Grip force control: Hold a fragile object without crushing it, then grip a heavier object without dropping it. 3. In-hand manipulation: Rotate or reposition an object using the fingers, without putting it down first. 4. Tactile feedback: Check whether the hand detects slipping and adjusts its grip before the object falls. 5. Repeatability: Run the same task dozens of times and record the success rate, completion time and number of failed grasps. For a fair comparison, both hands should handle the same objects under the same conditions. We would also need to account for differences in control software, sensor availability and the robot arm attached to each hand. A successful demonstration is a useful starting point. Repeated tests would tell us much more about reliability. WHY ROBOTIC HANDS DESERVE ATTENTION A humanoid can walk across a room and still struggle with a task as ordinary as picking up a small part. Hands must coordinate multiple joints, manage contact forces and respond to changes in the objects they handle. The controller also needs to interpret sensor data and choose the right movement. This is where mechanical design, tactile sensing, motor control and AI manipulation policies come together. My main interest is how these hands perform outside carefully prepared demonstrations. Picking up an object once is one thing. Repeating the task with different object positions and shapes is a harder test. Unitree and Xiaomi have published different specifications for their robotic hands. #humanoid #robot #robotics #physical #HumanoidRobots
Unitree vs Xiaomi: Who is building the better robotic hand? Humanoid robots are getting attention for their walking skills, but their hands deserve just as much attention. Two developments from China show how much work is going into dexterous robotic manipulation. Unitree has introduced the Dex5-S, a human-sized robotic hand with 22 degrees of freedom. Xiaomi has also unveiled a bionic hand with 21 degrees of freedom, 26 hybrid-drive motors and 1,500 tactile sensing points across the palm. Both designs are worth watching. The real test will be what they can do with everyday objects. 🦾 UNITREE DEX5-S Unitree's Dex5-S has 22 degrees of freedom, with all 22 joints actively controlled, according to the company. The hand is designed around human-hand proportions. Unitree lists a starting price of around $6,350 on its official store. A high number of degrees of freedom gives the controller more ways to position individual fingers. That can help with complex grasps and finger movements, although the number alone does not tell us how well the hand performs. I would test it with small components, tools and objects that require different grip angles. I would also check how well it maintains a grip when an object shifts. Explore more robotics updates: https://techniahqrobot.com 🤖 XIAOMI'S BIONIC HAND On October 27, Xiaomi unveiled a bionic dexterous hand with 21 degrees of freedom. The design uses 26 hybrid-drive motors and 1,500 high-density tactile sensing points across the palm. Xiaomi says the hand's configuration was informed by 1,827 real-world standard operating procedures from the pilot centre of its automobile intelligent manufacturing department. That manufacturing context is worth paying attention to. Industrial tasks often involve repeated movements, small parts and objects that must be held in a specific position. Tactile sensing could help a robot detect contact and adjust its grip. I would like to see how those sensors perform during actual manipulation, especially when an object is slippery, fragile or slightly out of position. More robotics news and analysis: https://x.com/techniahqrobot 🔬 WHAT SHOULD A FAIR TEST LOOK LIKE? Comparing robotic hands requires more than counting motors or degrees of freedom. Here are five tests I would run on both systems: 1. Precision grasping: Pick up screws, small components and other objects without knocking them over. 2. Grip force control: Hold a fragile object without crushing it, then grip a heavier object without dropping it. 3. In-hand manipulation: Rotate or reposition an object using the fingers, without putting it down first. 4. Tactile feedback: Check whether the hand detects slipping and adjusts its grip before the object falls. 5. Repeatability: Run the same task dozens of times and record the success rate, completion time and number of failed grasps. For a fair comparison, both hands should handle the same objects under the same conditions. We would also need to account for differences in control software, sensor availability and the robot arm attached to each hand. A successful demonstration is a useful starting point. Repeated tests would tell us much more about reliability. WHY ROBOTIC HANDS DESERVE ATTENTION A humanoid can walk across a room and still struggle with a task as ordinary as picking up a small part. Hands must coordinate multiple joints, manage contact forces and respond to changes in the objects they handle. The controller also needs to interpret sensor data and choose the right movement. This is where mechanical design, tactile sensing, motor control and AI manipulation policies come together. My main interest is how these hands perform outside carefully prepared demonstrations. Picking up an object once is one thing. Repeating the task with different object positions and shapes is a harder test. Unitree and Xiaomi have published different specifications for their robotic hands. #humanoid #robot #robotics #physical #HumanoidRobots
I Have Encoutered Many Difficulties Along This Journey #itchyboots #motorcycle #travel #crossing #fyp
I Have Encoutered Many Difficulties Along This Journey #itchyboots #motorcycle #travel #crossing #fyp
التبعية العمياء: اجترار المفاهيم والأيديولوجيات المتوارثة وغياب النقد الذاتي، مما يديم حالة الجمود المعرفي ويزيد من الجهل في المجتمع. ويتم رفض اي فكرة تنافي عادة او فكرة او تقليد. و لذلك بعض الافكار يحاولون ربطها بقدر المستطاع بفكرة مجتمعية او دينية. أدوات لتسيير الحياة وتطويرها إلى
التبعية العمياء: اجترار المفاهيم والأيديولوجيات المتوارثة وغياب النقد الذاتي، مما يديم حالة الجمود المعرفي ويزيد من الجهل في المجتمع. ويتم رفض اي فكرة تنافي عادة او فكرة او تقليد. و لذلك بعض الافكار يحاولون ربطها بقدر المستطاع بفكرة مجتمعية او دينية. أدوات لتسيير الحياة وتطويرها إلى "قوالب جامدة" مقدسة يُحاكم الواقع بناءً عليها، لا العكس. هذا الجمود المعرفي لا يكتفي بإيقاف عجلة التطور، بل ينتج بمرور الوقت جهلاً مركباً يرفض حتى السؤال أو الاستفسار. فتصبح قناعتنا و اعتقادتنا لما اعتدنا عليه في المجتمع السائد دون الحاجة لاخضاعها للعقل و المنطق.. و ايضا تقديس الموروث فلذلك عندما يخالفنا احدهم نتهمه بأبشع الاتهامات لانه يمس بالهوية او بالقيمة ولن نتطرق بأن نقارعهم بالأدلة. لانهم يخافون من هذا الاختلاف او الرفض. دمتم بود
Christmas edit: Tutorial on This trend in#Filmora || Song: Last Christmas || #reze #chainsawman #christmas #animedit
Christmas edit: Tutorial on This trend in#Filmora || Song: Last Christmas || #reze #chainsawman #christmas #animedit




About

Legal