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OpenMind App Store Partner: Fourier Fourier is an industry-leading proactive AI robotics company dedicated to enriching human life through full-stack robotic technologies. Their GR-3 humanoid features an innovative suede fabric design while maintaining durability, making it both highly functional and inviting. Fourier's product lineup serves more than 2,000 institutions... show more

OpenMind

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OpenMind App Store Partner: LimX Dynamics LimX Dynamics is an embodied intelligent robotics company driving the innovation of full-size general-purpose humanoid robots. LimX is committed to disruptive technology in Embodied AI with the mission to unlock AGI in real world, focusing on three core technologies: hardware design and manufacturing, RL-based motion control, and embodied AI development paradigms.

OpenMind App Store Partner: LimX Dynamics LimX Dynamics is an embodied intelligent robotics company driving the innovation of full-size general-purpose humanoid robots. LimX is committed to disruptive technology in Embodied AI with the mission to unlock AGI in real world, focusing on three core technologies: hardware design and manufacturing, RL-based motion control, and embodied AI development paradigms.

OpenMind

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OpenMind App Store Partner: AGIBOT Established in February 2023, AGIBOT has built an industry-leading full-stack robotics platform integrating “Embodiment + AI”, powering a wide range of real-world applications. Their standout series, Lingxi (X1 & X2), embodies agility, lightweight design, and seamless human interaction.

OpenMind App Store Partner: AGIBOT Established in February 2023, AGIBOT has built an industry-leading full-stack robotics platform integrating “Embodiment + AI”, powering a wide range of real-world applications. Their standout series, Lingxi (X1 & X2), embodies agility, lightweight design, and seamless human interaction.

OpenMind

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VLAI Robotics Launches High-Dexterity Dual-Arm Robot Starting at ~$5,500 USD VLAI Robotics, utilizing the open-source design of Japan’s OpenArm team, has introduced a high-dexterity, low-cost bimanual robotic system. The product is priced from 39,900 RMB (approximately 5,500 USD), making high-level research tools accessible to institutions and developers. The robot features a human-scale, arm-hand integrated design with up to 16 DOF (8 DOF per arm, including the gripper). It can handle a dual-arm peak payload of 12 kg while maintaining high precision. A key breakthrough is its ability to replicate human upper limb movement trajectories, which enhances data quality for imitation learning and remote operation. VLAI Robotics handled the domestic engineering, manufacturing, and VLA (Vision-Language-Action) algorithm integration, with quality control organized according to the strict standards of the OpenArm R&D framework. The robot is highly adaptable for research, education, and Physical AI training, supporting easy expansion for features like VR teleoperation.

VLAI Robotics Launches High-Dexterity Dual-Arm Robot Starting at ~$5,500 USD VLAI Robotics, utilizing the open-source design of Japan’s OpenArm team, has introduced a high-dexterity, low-cost bimanual robotic system. The product is priced from 39,900 RMB (approximately 5,500 USD), making high-level research tools accessible to institutions and developers. The robot features a human-scale, arm-hand integrated design with up to 16 DOF (8 DOF per arm, including the gripper). It can handle a dual-arm peak payload of 12 kg while maintaining high precision. A key breakthrough is its ability to replicate human upper limb movement trajectories, which enhances data quality for imitation learning and remote operation. VLAI Robotics handled the domestic engineering, manufacturing, and VLA (Vision-Language-Action) algorithm integration, with quality control organized according to the strict standards of the OpenArm R&D framework. The robot is highly adaptable for research, education, and Physical AI training, supporting easy expansion for features like VR teleoperation.

RoboHub🤖

12,961 görüntüleme • 10 ay önce

Physics AI 🌊 Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom. Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure: >chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams), >world models (Cosmos), >foundation models (GR00T N-series VLA), >high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse). Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment. By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.

Physics AI 🌊 Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom. Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure: >chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams), >world models (Cosmos), >foundation models (GR00T N-series VLA), >high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse). Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment. By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.

CyberRobo

17,092 görüntüleme • 2 ay önce

The AI companion of the replicant K in Blade Runner 2049 has been embodied in a physical form. A Shenzhen-based embodied intelligence company, Aiyo Technology, is developing a humanoid robot called Eva.i, an embodied AI companion. It's like bringing the virtual AI girlfriend from a science fiction movie into reality. Users can wake her up simply by touching her. She combines robotic hardware with a virtual avatar app, incorporating AI multi-modal interaction (visual, audio, and tactile) and emotional recognition. The body features an aluminum alloy frame and a three-layer composite skin (maintaining a constant temperature of approximately 37°C, FPC electronic skin tactile feedback, and a precision outer shell), supporting natural postures, micro-expressions, and synchronized breathing, among other human-like characteristics. Simultaneously, the AI supports offline processing, personalized learning, and tone/expression analysis; the app includes features such as an intimacy system and emotion tracking, which can be adjusted to constantly meet user needs and provide timely feedback. Privacy measures include local encryption and a detachable camera. In short, the team is creating another type of human-machine relationship. They call it the fourth relationship: a relaxed, burden-free emotional relationship without the fear of rejection. The team states that it promotes emotional independence and is not intended to replace real human relationships. The project is currently preparing for crowdfunding on Kickstarter, with plans for a limited edition of 200 units.

CyberRobo

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Life AI is validating our Biohub infrastructure through real-world deployments that test whether preventive healthcare can operate sustainably at scale. 1. National-scale operation The nationwide deployment of the PREVANA subnet across Thailand is Life AI’s first national-scale operating environment. This deployment allows Biohub to be evaluated across real geographic, demographic, and economic conditions, validating operational performance, human integration, and system sustainability beyond controlled pilots. 2. Research efficiency Using the Biohub platform, the largest genetic study on autism in Southeast Asia was conducted at a cost of approximately $10,000, compared to traditional estimates exceeding $1 million. This demonstrates how infrastructure-level coordination can significantly reduce research cost while maintaining population-scale scope. 3. Product deployment efficiency In a separate deployment, Life AI supported Kalbe Farma, Southeast Asia’s largest pharmaceutical company, in launching a personalized stroke prevention product in six weeks, compared to an originally planned 24-month development timeline. Taken together, these deployments show how AI-native infrastructure can reduce cost and time-to-impact across national operations, research, and product development, supporting the economic sustainability required for global expansion.

Life AI is validating our Biohub infrastructure through real-world deployments that test whether preventive healthcare can operate sustainably at scale. 1. National-scale operation The nationwide deployment of the PREVANA subnet across Thailand is Life AI’s first national-scale operating environment. This deployment allows Biohub to be evaluated across real geographic, demographic, and economic conditions, validating operational performance, human integration, and system sustainability beyond controlled pilots. 2. Research efficiency Using the Biohub platform, the largest genetic study on autism in Southeast Asia was conducted at a cost of approximately $10,000, compared to traditional estimates exceeding $1 million. This demonstrates how infrastructure-level coordination can significantly reduce research cost while maintaining population-scale scope. 3. Product deployment efficiency In a separate deployment, Life AI supported Kalbe Farma, Southeast Asia’s largest pharmaceutical company, in launching a personalized stroke prevention product in six weeks, compared to an originally planned 24-month development timeline. Taken together, these deployments show how AI-native infrastructure can reduce cost and time-to-impact across national operations, research, and product development, supporting the economic sustainability required for global expansion.

LIFE AI

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This robot knows who won the World Cup! "Xiaozhi, Xiaozhi, who won the 2026 FIFA World Cup?" Alvaro Lago, from Spain, gave this "pop quiz" to a robot at the Embodied AI Robot Experience Center in Changzhou, east China's Jiangsu Province. "The 2026 World Cup Champions are Spain!" the robot blurted out instantly, drawing an enthusiastic thumbs-up from the Spanish native. From understanding football to offering services and interacting with people, what's on display is more than just robots, it's a showcase of China's manufacturing strength. The experience center brings together 36 companies and 104 exhibits, spanning core components, intelligent systems and complete machine integration, offering a full panorama of the embodied intelligence industry chain. The Wujin National Hi-tech Industrial Zone, site of the experience center, is already home to more than 120 robotics companies and is accelerating efforts to build a globally competitive robotics industry hub. As China's robots race toward the future, one thing is clear: when it comes to robotics, Changzhou is a city you don't want to miss.

This robot knows who won the World Cup! "Xiaozhi, Xiaozhi, who won the 2026 FIFA World Cup?" Alvaro Lago, from Spain, gave this "pop quiz" to a robot at the Embodied AI Robot Experience Center in Changzhou, east China's Jiangsu Province. "The 2026 World Cup Champions are Spain!" the robot blurted out instantly, drawing an enthusiastic thumbs-up from the Spanish native. From understanding football to offering services and interacting with people, what's on display is more than just robots, it's a showcase of China's manufacturing strength. The experience center brings together 36 companies and 104 exhibits, spanning core components, intelligent systems and complete machine integration, offering a full panorama of the embodied intelligence industry chain. The Wujin National Hi-tech Industrial Zone, site of the experience center, is already home to more than 120 robotics companies and is accelerating efforts to build a globally competitive robotics industry hub. As China's robots race toward the future, one thing is clear: when it comes to robotics, Changzhou is a city you don't want to miss.

People's Daily, China

28,786 görüntüleme • 1 ay önce

Spectre AI’s founder steps in front of the camera for Y Combinator . As part of our Y Combinator Summer Batch 2026 application, our founder Sunny Enzo recorded a founder video walking through the Spectre AI app and the direction of the company. Sunny is doxxed, but this is the first time he is appearing on video to speak directly about Spectre AI, the product, and the market intelligence layer we are building. Due to YC’s time format, the video only shows around 5 to 6 features from an ecosystem with 100+ features already built or in progress. A full Spectre AI walkthrough would need far more time. Still, it gives a clear look at where we are heading: AI market intelligence, on-chain data, social intelligence, real-time context, and a cleaner way to understand financial markets through one platform. Another step in taking Spectre AI from product delivery into serious company building.

Spectre AI’s founder steps in front of the camera for Y Combinator . As part of our Y Combinator Summer Batch 2026 application, our founder Sunny Enzo recorded a founder video walking through the Spectre AI app and the direction of the company. Sunny is doxxed, but this is the first time he is appearing on video to speak directly about Spectre AI, the product, and the market intelligence layer we are building. Due to YC’s time format, the video only shows around 5 to 6 features from an ecosystem with 100+ features already built or in progress. A full Spectre AI walkthrough would need far more time. Still, it gives a clear look at where we are heading: AI market intelligence, on-chain data, social intelligence, real-time context, and a cleaner way to understand financial markets through one platform. Another step in taking Spectre AI from product delivery into serious company building.

SPECTRE AI

17,501 görüntüleme • 3 ay önce

World, Sam Altman's digital identity project, just unveiled World ID 4.0, what the company calls "full-stack proof of human" infrastructure. The partner list: Tinder, Zoom, DocuSign, Shopify, Okta, AWS, and Vercel. Altman opened by saying we're heading to a world where AI generates more content than humans. Pantera Capital says we've already crossed that threshold. World's answer is an iris-scanning device called the Orb that creates a unique cryptographic ID proving you're a real person. 18 million people across 160 countries have already verified. Tinder is rolling out "verified human" badges in the U.S. after a Japan pilot. Zoom built a feature called "Deep Face" that verifies the person on a video call isn't a deepfake. DocuSign is adding proof-of-human checks to digital signatures. Shopify is enabling verified-human commerce. The most significant announcement is AgentKit, infrastructure that lets AI agents carry cryptographic proof they're acting on behalf of a verified human. Okta built an agent delegation system on top of it. The problem World is solving is real. The question is whether a centralized iris-scanning identity layer controlled by the same person whose company helped create the problem is the right answer. Altman is the CEO of OpenAI. He built the flood. Now he's selling the ark.

World, Sam Altman's digital identity project, just unveiled World ID 4.0, what the company calls "full-stack proof of human" infrastructure. The partner list: Tinder, Zoom, DocuSign, Shopify, Okta, AWS, and Vercel. Altman opened by saying we're heading to a world where AI generates more content than humans. Pantera Capital says we've already crossed that threshold. World's answer is an iris-scanning device called the Orb that creates a unique cryptographic ID proving you're a real person. 18 million people across 160 countries have already verified. Tinder is rolling out "verified human" badges in the U.S. after a Japan pilot. Zoom built a feature called "Deep Face" that verifies the person on a video call isn't a deepfake. DocuSign is adding proof-of-human checks to digital signatures. Shopify is enabling verified-human commerce. The most significant announcement is AgentKit, infrastructure that lets AI agents carry cryptographic proof they're acting on behalf of a verified human. Okta built an agent delegation system on top of it. The problem World is solving is real. The question is whether a centralized iris-scanning identity layer controlled by the same person whose company helped create the problem is the right answer. Altman is the CEO of OpenAI. He built the flood. Now he's selling the ark.

TFTC

1,425,020 görüntüleme • 4 ay önce

Tech Valley was honored to participate as a Strategic Partner in the 15th edition of Blockchain Life held in Dubai 🇦🇪 an event that once again proved its position as one of the most influential and powerful global gatherings in the world of blockchain and digital assets. This edition stood out for its exceptional lineup of speakers and attendees bringing together some of the most prominent leaders and innovators in the industry including Pavel Durov Founder of Telegram and Andrei Grachev, Head of DWF Labs alongside a large number of investors, influencers and experts representing more than 130 countries around the world. It was truly a remarkable edition that embodied the spirit of innovation and the rapid growth of this industry both regionally and globally. We now look forward to the next edition of Blockchain Life, which promises to be even more powerful exciting and globally impactful continuing the event’s journey toward solidifying its status as one of the world’s leading forums for digital future builders.

Tech Valley was honored to participate as a Strategic Partner in the 15th edition of Blockchain Life held in Dubai 🇦🇪 an event that once again proved its position as one of the most influential and powerful global gatherings in the world of blockchain and digital assets. This edition stood out for its exceptional lineup of speakers and attendees bringing together some of the most prominent leaders and innovators in the industry including Pavel Durov Founder of Telegram and Andrei Grachev, Head of DWF Labs alongside a large number of investors, influencers and experts representing more than 130 countries around the world. It was truly a remarkable edition that embodied the spirit of innovation and the rapid growth of this industry both regionally and globally. We now look forward to the next edition of Blockchain Life, which promises to be even more powerful exciting and globally impactful continuing the event’s journey toward solidifying its status as one of the world’s leading forums for digital future builders.

Tech Valley

25,145 görüntüleme • 9 ay önce

What if the question isn’t whether to use AI, but how fast you can learn to work with it? In this special episode recorded live at Webex One, I talk with Jeetu Patel (Jeetu Patel), President and Chief Product Officer at Cisco, about the mindset shift every company, and every professional, must make to thrive in the AI era. From rethinking work culture to designing products for both humans and AI agents, Jeetu shares a thoughtful, optimistic vision for the future, one rooted in curiosity, responsibility, and human creativity. “AI won’t take your job. But someone who uses AI better than you might.” An honest, energizing look at how to lead and learn in an AI-first world. 1:08 Embracing AI In The Workforce 5:17 AI Is More Than A Productivity Tool 8:35 Generational Differences In AI Use 10:49 The Future of Integrating AI Agents 13:44 AI As A "Given" 17:08 Speed of Accumulating Knowledge 19:00 Ethical AI Use 21:16 What The Industry Gets Wrong About AI

What if the question isn’t whether to use AI, but how fast you can learn to work with it? In this special episode recorded live at Webex One, I talk with Jeetu Patel (Jeetu Patel), President and Chief Product Officer at Cisco, about the mindset shift every company, and every professional, must make to thrive in the AI era. From rethinking work culture to designing products for both humans and AI agents, Jeetu shares a thoughtful, optimistic vision for the future, one rooted in curiosity, responsibility, and human creativity. “AI won’t take your job. But someone who uses AI better than you might.” An honest, energizing look at how to lead and learn in an AI-first world. 1:08 Embracing AI In The Workforce 5:17 AI Is More Than A Productivity Tool 8:35 Generational Differences In AI Use 10:49 The Future of Integrating AI Agents 13:44 AI As A "Given" 17:08 Speed of Accumulating Knowledge 19:00 Ethical AI Use 21:16 What The Industry Gets Wrong About AI

Carolina Milanesi

37,076 görüntüleme • 10 ay önce

🚨 Apple joins the robotics race! Researchers from Carnegie Mellon University and Apple have developed a robot collision avoidance system. They called it ARMOR and they implemented it on the Fourier GR-1 robot. What is ARMOR? 👘 ARMOR is a system that helps humanoid robots "see" their surroundings better by using small, smart depth sensors placed on their arms. It solves the problem of blind spots and occlusions in traditional robot perception, making robots much safer and more efficient. It uses Time-of-Flight (ToF) sensors to detect obstacles, providing a near-complete view of the robot’s environment. 🔭 A smart software powered by transformer-based AI learns from human movements to help robots plan their actions dynamically. ARMOR reduces collisions by an impressive 63.7%, making robots significantly better at navigating crowded or complex spaces. The system is fast as well! 💨 ARMOR-Policy cuts computational time by 26× compared to traditional planning methods, ensuring robots can act quickly. P.S. Thoughts on this? The research paper is in the comments! ~~~ ♻️ RT to help 1 robot find a new workplace.

🚨 Apple joins the robotics race! Researchers from Carnegie Mellon University and Apple have developed a robot collision avoidance system. They called it ARMOR and they implemented it on the Fourier GR-1 robot. What is ARMOR? 👘 ARMOR is a system that helps humanoid robots "see" their surroundings better by using small, smart depth sensors placed on their arms. It solves the problem of blind spots and occlusions in traditional robot perception, making robots much safer and more efficient. It uses Time-of-Flight (ToF) sensors to detect obstacles, providing a near-complete view of the robot’s environment. 🔭 A smart software powered by transformer-based AI learns from human movements to help robots plan their actions dynamically. ARMOR reduces collisions by an impressive 63.7%, making robots significantly better at navigating crowded or complex spaces. The system is fast as well! 💨 ARMOR-Policy cuts computational time by 26× compared to traditional planning methods, ensuring robots can act quickly. P.S. Thoughts on this? The research paper is in the comments! ~~~ ♻️ RT to help 1 robot find a new workplace.

Lukas Ziegler

169,472 görüntüleme • 1 yıl önce

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.

Owen Gregorian

179,005 görüntüleme • 10 ay önce

Clone Robotics CEO Necromancer in a fireside chat with Peter Diamandis at the Abundance Summit: Rather than following the conventional humanoid robot path, they are building "Synthetic Human Androids."(westworld like) > Abandoning the rigid skeleton + electric motor approach > Adopting a human anatomical design: an internal skeleton paired with their proprietary Myofiber artificial muscles (fluid-driven). While this may appear slow in the short term, only a foundational design rooted in biological principles can ultimately prevail in the long run. > Mimicking the actual musculoskeletal system results in a robot that is more natural, compliant, and quiet. > Initial versions will feature a faceless design to avoid the "uncanny valley" effect. Facial artificial muscles will be added incrementally to enable micro-expressions, making the robots virtually indistinguishable from real humans. Goal: A cost of < $20,000, with commercial deployment commencing around 2028. They will begin by performing repetitive service tasks in structured environments,such as hotels and facilities,while simultaneously learning more complex operations through embodied AI as they work. (For the full video, see Clone's post.)

Clone Robotics CEO Necromancer in a fireside chat with Peter Diamandis at the Abundance Summit: Rather than following the conventional humanoid robot path, they are building "Synthetic Human Androids."(westworld like) > Abandoning the rigid skeleton + electric motor approach > Adopting a human anatomical design: an internal skeleton paired with their proprietary Myofiber artificial muscles (fluid-driven). While this may appear slow in the short term, only a foundational design rooted in biological principles can ultimately prevail in the long run. > Mimicking the actual musculoskeletal system results in a robot that is more natural, compliant, and quiet. > Initial versions will feature a faceless design to avoid the "uncanny valley" effect. Facial artificial muscles will be added incrementally to enable micro-expressions, making the robots virtually indistinguishable from real humans. Goal: A cost of < $20,000, with commercial deployment commencing around 2028. They will begin by performing repetitive service tasks in structured environments,such as hotels and facilities,while simultaneously learning more complex operations through embodied AI as they work. (For the full video, see Clone's post.)

CyberRobo

41,216 görüntüleme • 4 ay önce

XMAQUINA NEURA Transaction Initiated ✅ A new chapter begins. Following BOT-09 approval, the Execution Engine has moved forward to secure a $1.75M position in NEURA Robotics’ Series C. This marks more than just a transaction. It represents belief in the future of Physical AI and humanoid intelligence. This allocation is progressing through a structured, multi step equity process, managed by a licensed intermediary and secured through escrow. Each phase ensures transparency, security, and alignment with long term ownership goals. Final ownership will only be confirmed once the final step is completed. While delays or adjustments are uncommon, this careful approach protects the integrity of the process and the DAO’s position. At the center of this move stands the 4NE-1 humanoid robot built to bring human level precision, adaptability, and real world utility to both industrial and domestic environments. From autonomous mobility to advanced sensor intelligence, this technology represents a shift toward cognitive machines that collaborate with humans. This is more than an investment. It’s participation in the emergence of the humanoid era. Track the DAO’s allocation and follow the journey as Physical AI continues to evolve. 🤖 XMAQUINA

XMAQUINA NEURA Transaction Initiated ✅ A new chapter begins. Following BOT-09 approval, the Execution Engine has moved forward to secure a $1.75M position in NEURA Robotics’ Series C. This marks more than just a transaction. It represents belief in the future of Physical AI and humanoid intelligence. This allocation is progressing through a structured, multi step equity process, managed by a licensed intermediary and secured through escrow. Each phase ensures transparency, security, and alignment with long term ownership goals. Final ownership will only be confirmed once the final step is completed. While delays or adjustments are uncommon, this careful approach protects the integrity of the process and the DAO’s position. At the center of this move stands the 4NE-1 humanoid robot built to bring human level precision, adaptability, and real world utility to both industrial and domestic environments. From autonomous mobility to advanced sensor intelligence, this technology represents a shift toward cognitive machines that collaborate with humans. This is more than an investment. It’s participation in the emergence of the humanoid era. Track the DAO’s allocation and follow the journey as Physical AI continues to evolve. 🤖 XMAQUINA

Baki

10,690 görüntüleme • 6 ay önce

ELON: I’M SPENDING MANY BRAIN CYCLES ON SCALING OPTIMUS PRODUCTION “We're finalizing the design of Optimus version 3. That really is going to be a very remarkable robot. It will have essentially the manual dexterity of a human, meaning a very complex hand, an AI mind that can navigate and comprehend reality, and it will be made in very high volume. If you see any other robotics company, they're missing those three things. Those are the three really hard things. I spend actually at this point more of my mental cycles than anything else, any other single thing, on Optimus. That's solving for real-world AI. There is no supply chain that exists for humanoid robots, so we have to recreate it from scratch, which requires doing a lot of vertical integration.” Source: Interview at the All-In Summit, September 10, 2025

ELON: I’M SPENDING MANY BRAIN CYCLES ON SCALING OPTIMUS PRODUCTION “We're finalizing the design of Optimus version 3. That really is going to be a very remarkable robot. It will have essentially the manual dexterity of a human, meaning a very complex hand, an AI mind that can navigate and comprehend reality, and it will be made in very high volume. If you see any other robotics company, they're missing those three things. Those are the three really hard things. I spend actually at this point more of my mental cycles than anything else, any other single thing, on Optimus. That's solving for real-world AI. There is no supply chain that exists for humanoid robots, so we have to recreate it from scratch, which requires doing a lot of vertical integration.” Source: Interview at the All-In Summit, September 10, 2025

Mario Nawfal

1,534,673 görüntüleme • 11 ay önce

Japan Just Built a HouseBot You Control Without Speaking and It Changes Everything! Donut Robotics has officially unveiled its first bipedal humanoid, Cinnamon 1, and instead of focusing on louder voices or bigger motors, the company went in the opposite direction. Silence. Cinnamon 1 introduces what Donut Robotics calls Silent Gesture Control, a system that allows the humanoid to be guided using simple hand and finger movements rather than spoken commands. This approach feels especially well suited for real world environments where traditional voice control falls apart. Busy factory floors. Construction sites filled with constant noise. Even quiet indoor settings where voice commands feel awkward or intrusive. It also opens the door for far more accessible human robot interaction, particularly for users with impairments. While the current Cinnamon 1 hardware is built on an OEM platform, the intelligence driving it is where Donut Robotics is placing its long term bet. The team is actively developing custom Vision Language Action AI that allows the robot to interpret what it sees, understand intent, and respond with physical action. The goal is not just smarter robots, but robots that feel more natural. Even more ambitious is the company’s plan for full domestic production. Donut Robotics has stated its intention to localize both manufacturing and AI development in Japan, reinforcing the country’s reputation for precision engineering and thoughtful robotics design. If timelines hold, Cinnamon 1 units are expected to begin deployment in factories and construction environments by the end of 2026. That puts this humanoid squarely in the category of near term reality rather than distant concept. The takeaway is simple but important. As humanoid robots move out of labs and into daily work environments, the winners may not be the loudest or flashiest machines. They may be the ones that understand us without a word being spoken.

Japan Just Built a HouseBot You Control Without Speaking and It Changes Everything! Donut Robotics has officially unveiled its first bipedal humanoid, Cinnamon 1, and instead of focusing on louder voices or bigger motors, the company went in the opposite direction. Silence. Cinnamon 1 introduces what Donut Robotics calls Silent Gesture Control, a system that allows the humanoid to be guided using simple hand and finger movements rather than spoken commands. This approach feels especially well suited for real world environments where traditional voice control falls apart. Busy factory floors. Construction sites filled with constant noise. Even quiet indoor settings where voice commands feel awkward or intrusive. It also opens the door for far more accessible human robot interaction, particularly for users with impairments. While the current Cinnamon 1 hardware is built on an OEM platform, the intelligence driving it is where Donut Robotics is placing its long term bet. The team is actively developing custom Vision Language Action AI that allows the robot to interpret what it sees, understand intent, and respond with physical action. The goal is not just smarter robots, but robots that feel more natural. Even more ambitious is the company’s plan for full domestic production. Donut Robotics has stated its intention to localize both manufacturing and AI development in Japan, reinforcing the country’s reputation for precision engineering and thoughtful robotics design. If timelines hold, Cinnamon 1 units are expected to begin deployment in factories and construction environments by the end of 2026. That puts this humanoid squarely in the category of near term reality rather than distant concept. The takeaway is simple but important. As humanoid robots move out of labs and into daily work environments, the winners may not be the loudest or flashiest machines. They may be the ones that understand us without a word being spoken.

The AI Robot Guy on X

257,928 görüntüleme • 7 ay önce

AI designs functional hardware! 🔧 Claude Opus 4.7 is leading CAD benchmarks, and AI is starting to design functional hardware autonomously. The shift happening: CAD as a tool → CAD as an autonomous system. The model didn't just sketch geometry, it generated mechanically valid designs with joints and motion constraints. It optimized for real-world functionality, not just visual correctness like earlier LLMs. This mirrors what happened in coding last year. In software, engineers moved toward requirements, architecture, and orchestration while code became the compiled outcome of AI systems. Mechanical engineering may follow the same path: from designing parts → defining intent. This changes the role of engineering teams. Instead of manually designing every component, engineers will define constraints, validate outputs, and focus on system-level architecture. Engineers spend less time on geometry and more time on optimization and integration. AI handles the mechanical validity checks that traditionally required experienced designers. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

AI designs functional hardware! 🔧 Claude Opus 4.7 is leading CAD benchmarks, and AI is starting to design functional hardware autonomously. The shift happening: CAD as a tool → CAD as an autonomous system. The model didn't just sketch geometry, it generated mechanically valid designs with joints and motion constraints. It optimized for real-world functionality, not just visual correctness like earlier LLMs. This mirrors what happened in coding last year. In software, engineers moved toward requirements, architecture, and orchestration while code became the compiled outcome of AI systems. Mechanical engineering may follow the same path: from designing parts → defining intent. This changes the role of engineering teams. Instead of manually designing every component, engineers will define constraints, validate outputs, and focus on system-level architecture. Engineers spend less time on geometry and more time on optimization and integration. AI handles the mechanical validity checks that traditionally required experienced designers. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

25,458 görüntüleme • 4 ay önce

Robody: A Soft and Friendly Caregiving Humanoid Robody is a wheeled humanoid robot developed by the German company Devanthro. Unlike the cold, rigid metal humanoids we often see, Robody is built with a musculoskeletal design, stands at a human-like height, and features a head that doubles as an interactive, projectable display,making it feel much more approachable. What makes Robody special is that it’s not just a robot, but an avatar. By combining robotics, AI, virtual reality, and 5G, it allows caregivers or family members to project their senses, actions, and even their presence anywhere in the world. In practice, that means you can be there for your loved ones anytime, no matter the distance. With Robody, caregivers (whether professionals or family) can provide 24/7 remote support, helping older adults age comfortably and with dignity at home. On top of that, families can use Robody to make video calls and even directly control the robot to interact with their loved one's,bridging the gap between physical care and emotional connection

CyberRobo

11,622 görüntüleme • 11 ay önce