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Clone’s Protoclone is a musculoskeletal android engineered around an anatomically based human skeletal structure. It incorporates more than 1,000 artificial muscle actuators (Myofibers), polymer-based bones with articulated joints and ligaments, and a hydraulic vascular system for force transmission. The platform integrates depth cameras, inertial and pressure sensors, and onboard... show more

Wevolver

64,527 subscribers

10,812 次观看 • 7 个月前 •via X (Twitter)

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9 条评论

BlindVia 的头像

BlindVia7 个月前

I keep seeing this prototype being showcase, and I'm trying to appreciate the uniqueness of their approach. But the fidelity is just so bad, it's hard to see it progressing quickly

OMMT AI Picture Studios 的头像

OMMT AI Picture Studios7 个月前

Whoever wants to build robots that look human hates humans and robots equally. As a robot, it cannot unfold its full range of theoretical possibilities. And as a human, there is a constant risk of confusion, which harms society.

maru 的头像

maru7 个月前

😭 What is this

Heinrich 的头像

Heinrich7 个月前

What a beaut

Alex-Karpathy-69420 的头像

Alex-Karpathy-694207 个月前

This video is super old in AI terms. Did they make any progress at all?

Bob Davies (N-Train) 的头像

Bob Davies (N-Train)7 个月前

That looks scary and unnatural.

LumiPad 的头像

LumiPad7 个月前

This one is kinda scary

Dr. Goldoval 的头像

Dr. Goldoval7 个月前

and then around 2027-28 unexpectedly samurai sword sales rapidly increased

Carolina 的头像

Carolina7 个月前

That biomimetic approach goes beyond joints, highlighting durability and scalable control as the next big test

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🚨 WATER-POWERED HUMANOID ROBOT MOVES, THINKS, AND FEELS LIKE YOU Meet Proto Alpha, one of the most humanlike robot ever made. Built by Clone Robotics it mimics the human body with 206 3D printed bones and over 1,000 synthetic muscle fibers each light as a paperclip but strong enough to lift a kilo. Powered not by motors but by a 500 watt heart sized water pump it moves with eerie fluidity. With 320 pressure sensors 70 motion trackers 4 depth cameras and an Nvidia brain this machine can move see and react like us. Source: Clone Robotics

🚨 WATER-POWERED HUMANOID ROBOT MOVES, THINKS, AND FEELS LIKE YOU Meet Proto Alpha, one of the most humanlike robot ever made. Built by Clone Robotics it mimics the human body with 206 3D printed bones and over 1,000 synthetic muscle fibers each light as a paperclip but strong enough to lift a kilo. Powered not by motors but by a 500 watt heart sized water pump it moves with eerie fluidity. With 320 pressure sensors 70 motion trackers 4 depth cameras and an Nvidia brain this machine can move see and react like us. Source: Clone Robotics

Mario Nawfal

73,648 次观看 • 1 年前

Most robots have rigid necks. This one moves more like a human. 🤖🧬 Will Cogley built a 3D-printed artificial spine and neck inspired by human anatomy. Six linear actuators work like artificial muscles, while flexible 3D-printed vertebrae help create smoother, more natural movement. The result? A robotic head that can move with surprisingly human-like motion. Should future humanoids use biological structures instead of traditional rigid joints? 👀 🎥 Media: Will Cogley / NM Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #HumanoidRobots #Biomimicry #3DPrinting #Animatronics #Mechatronics #Engineering #Innovation

Most robots have rigid necks. This one moves more like a human. 🤖🧬 Will Cogley built a 3D-printed artificial spine and neck inspired by human anatomy. Six linear actuators work like artificial muscles, while flexible 3D-printed vertebrae help create smoother, more natural movement. The result? A robotic head that can move with surprisingly human-like motion. Should future humanoids use biological structures instead of traditional rigid joints? 👀 🎥 Media: Will Cogley / NM Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #HumanoidRobots #Biomimicry #3DPrinting #Animatronics #Mechatronics #Engineering #Innovation

CTO ROBOTICS Media

25,030 次观看 • 1 个月前

This is just crazy! Clone just introduced the Torso 2, a groundbreaking android that sets a new standard for robotics. This advanced prototype features 910 artificial muscle fibers, 164 degrees of freedom, and 182 sensors for precise feedback control, enabling fluid, human-like movement. With an actuated lumbar spine and a full set of abdominal muscles, Torso 2’s design mimics human anatomy for unprecedented natural motion. Encased in a sleek, white transparent skin, the Torso 2 utilizes pneumatic actuation to animate its muscles, though current off-the-shelf valves create some noise due to air exhaust. Clone plans to return to a quieter hydraulic design with custom liquid valves for future bipedal robots. The current temporary opaque visor will also be replaced with a one-way mirror for a more polished look. The Torso 2 demonstrates Clone’s hardware potential, running hand-coded sequences to control each muscle. With the promise of legs arriving soon, Clone Robotics is inching closer to creating silent, fully humanoid androids—marking a major leap toward lifelike robotic functionality.

This is just crazy! Clone just introduced the Torso 2, a groundbreaking android that sets a new standard for robotics. This advanced prototype features 910 artificial muscle fibers, 164 degrees of freedom, and 182 sensors for precise feedback control, enabling fluid, human-like movement. With an actuated lumbar spine and a full set of abdominal muscles, Torso 2’s design mimics human anatomy for unprecedented natural motion. Encased in a sleek, white transparent skin, the Torso 2 utilizes pneumatic actuation to animate its muscles, though current off-the-shelf valves create some noise due to air exhaust. Clone plans to return to a quieter hydraulic design with custom liquid valves for future bipedal robots. The current temporary opaque visor will also be replaced with a one-way mirror for a more polished look. The Torso 2 demonstrates Clone’s hardware potential, running hand-coded sequences to control each muscle. With the promise of legs arriving soon, Clone Robotics is inching closer to creating silent, fully humanoid androids—marking a major leap toward lifelike robotic functionality.

Ed Krassenstein

29,566 次观看 • 1 年前

Researchers have presented Electrofluidic Fiber Muscles: a new class of artificial muscle fibers for robots and wearables. The new electrofluidic fiber muscles — electrically driven actuators built in fiber format — are described in a recent paper published in Science Robotics. The work is led by Media Lab PhD candidate Ozgun Kilic Afsar; Vito Cacucciolo, a professor at the Politecnico di Bari; and four co-authors. Unlike the rigid servo motors used in most robots, these fiber-shaped muscles are soft and flexible. They combine electrohydrodynamic (EHD) fiber pumps — slender tubes that move liquid using electric fields to generate pressure silently, with no moving parts — with fluid-filled fiber actuators. These artificial muscles could enable more agile untethered robots, as well as wearable assistive systems with compact actuation integrated directly into textiles. Video Credit: MIT Media Lab #engineering #technology #robotics #robots

Researchers have presented Electrofluidic Fiber Muscles: a new class of artificial muscle fibers for robots and wearables. The new electrofluidic fiber muscles — electrically driven actuators built in fiber format — are described in a recent paper published in Science Robotics. The work is led by Media Lab PhD candidate Ozgun Kilic Afsar; Vito Cacucciolo, a professor at the Politecnico di Bari; and four co-authors. Unlike the rigid servo motors used in most robots, these fiber-shaped muscles are soft and flexible. They combine electrohydrodynamic (EHD) fiber pumps — slender tubes that move liquid using electric fields to generate pressure silently, with no moving parts — with fluid-filled fiber actuators. These artificial muscles could enable more agile untethered robots, as well as wearable assistive systems with compact actuation integrated directly into textiles. Video Credit: MIT Media Lab #engineering #technology #robotics #robots

Wevolver

10,090 次观看 • 5 个月前

NEWS: Humanoid robotics company Figure has released Helix 02, what they claim in their most capable humanoid model yet. "A single neural system that controls the full body directly from pixels, enabling dexterous, long horizon autonomy across an entire room: • Autonomous, long‑horizon loco-manipulation: Helix 02 unloads and reloads a dishwasher across a full-sized kitchen - a four-minute, end-to-end autonomous task that integrates walking, manipulation, and balance with no resets and no human intervention. We believe this is the longest horizon, most complex task completed autonomously by a humanoid robot to date. • All sensors in. All actuators out: Helix 02 connects every onboard sensor - vision, touch, and proprioception - directly to every actuator through a single unified visuomotor neural network. • Human-like whole body control from human data: All results are enabled by System 0, a learned whole‑body controller trained on over 1,000 hours of human motion data and sim‑to‑real reinforcement learning. System 0 replaces 109,504 lines of hand‑engineered C++ with a single neural prior for stable, natural motion. • New classes of dexterity: With Figure 03’s embedded tactile sensing and palm cameras, Helix 02 performs manipulation that was previously out of reach: extracting individual pills, dispensing precise syringe volumes, and singulating small, irregular objects from clutter despite self‑occlusion. Helix 02 is trained on over 1,000 hours of human motion data and integrates vision, touch, and proprioception."

NEWS: Humanoid robotics company Figure has released Helix 02, what they claim in their most capable humanoid model yet. "A single neural system that controls the full body directly from pixels, enabling dexterous, long horizon autonomy across an entire room: • Autonomous, long‑horizon loco-manipulation: Helix 02 unloads and reloads a dishwasher across a full-sized kitchen - a four-minute, end-to-end autonomous task that integrates walking, manipulation, and balance with no resets and no human intervention. We believe this is the longest horizon, most complex task completed autonomously by a humanoid robot to date. • All sensors in. All actuators out: Helix 02 connects every onboard sensor - vision, touch, and proprioception - directly to every actuator through a single unified visuomotor neural network. • Human-like whole body control from human data: All results are enabled by System 0, a learned whole‑body controller trained on over 1,000 hours of human motion data and sim‑to‑real reinforcement learning. System 0 replaces 109,504 lines of hand‑engineered C++ with a single neural prior for stable, natural motion. • New classes of dexterity: With Figure 03’s embedded tactile sensing and palm cameras, Helix 02 performs manipulation that was previously out of reach: extracting individual pills, dispensing precise syringe volumes, and singulating small, irregular objects from clutter despite self‑occlusion. Helix 02 is trained on over 1,000 hours of human motion data and integrates vision, touch, and proprioception."

Sawyer Merritt

624,973 次观看 • 8 个月前

🚨 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 次观看 • 1 年前

Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work. Details on all of this new work ➡️ 1️⃣ Meta Sparsh is the first general-purpose encoder for vision-based tactile sensing that works across many tactile sensors and many tasks. Trained on 460K+ tactile images using self-supervised learning. 2️⃣ Meta Digit 360 is a breakthrough artificial fingertip-based tactile sensor, equipped with 18+ sensing features to deliver detailed touch data with human-level precision and touch-sensing capabilities. 3️⃣ Meta Digit Plexus is a standardized platform for robotic sensor connections and interactions. It provides a hardware-software solution to integrate tactile sensors on a single robot hand and enables seamless data collection, control and analysis over a single cable. The potential impact of expanding capabilities and components like these for the open source community ranges from medical research to supply chain, manufacturing and much more. We’re excited to continue this work with the broader community.

Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work. Details on all of this new work ➡️ 1️⃣ Meta Sparsh is the first general-purpose encoder for vision-based tactile sensing that works across many tactile sensors and many tasks. Trained on 460K+ tactile images using self-supervised learning. 2️⃣ Meta Digit 360 is a breakthrough artificial fingertip-based tactile sensor, equipped with 18+ sensing features to deliver detailed touch data with human-level precision and touch-sensing capabilities. 3️⃣ Meta Digit Plexus is a standardized platform for robotic sensor connections and interactions. It provides a hardware-software solution to integrate tactile sensors on a single robot hand and enables seamless data collection, control and analysis over a single cable. The potential impact of expanding capabilities and components like these for the open source community ranges from medical research to supply chain, manufacturing and much more. We’re excited to continue this work with the broader community.

AI at Meta

453,860 次观看 • 1 年前

QACE Dynamics | Inside the Making of the Robotics Lab A first look at the core setup behind QACE. Three Jetson Orin NX based QARC units, an Intel mini system, and a firewall are now active as part of the infrastructure powering the decentralised robotics lab. The QACE dApp is already connected to these systems, running live simulations and processing autonomy workloads directly on them. These NVIDIA-powered edge units serve as the backbone for real-time AI inference, multi-sensor processing, and distributed control inside the QACE ecosystem. Very soon, AGVs, robotic arms, and vision systems will be connected to this network as we move toward a live, fully integrated setup. Stay tuned for the next video where we show the robots running on this infrastructure. #QACE #RoboticsAI #EdgeAI #QARC #RoboticsLab #Qognix

QACE Dynamics | Inside the Making of the Robotics Lab A first look at the core setup behind QACE. Three Jetson Orin NX based QARC units, an Intel mini system, and a firewall are now active as part of the infrastructure powering the decentralised robotics lab. The QACE dApp is already connected to these systems, running live simulations and processing autonomy workloads directly on them. These NVIDIA-powered edge units serve as the backbone for real-time AI inference, multi-sensor processing, and distributed control inside the QACE ecosystem. Very soon, AGVs, robotic arms, and vision systems will be connected to this network as we move toward a live, fully integrated setup. Stay tuned for the next video where we show the robots running on this infrastructure. #QACE #RoboticsAI #EdgeAI #QARC #RoboticsLab #Qognix

Qace Dynamics

10,202 次观看 • 10 个月前

Open-source magnetic tactile sensor for $5! 🧲 Researchers from New York University introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. 🔗 Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Open-source magnetic tactile sensor for $5! 🧲 Researchers from New York University introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. 🔗 Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

110,060 次观看 • 1 天前

Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

289,657 次观看 • 5 个月前

What if a robotic joint could move in almost any direction? ⚙️🤖 Researchers in Japan developed an innovative active ball joint mechanism that rethinks how machines generate motion. Unlike conventional joints with fixed axes, this design enables highly flexible movement from a compact structure, opening new possibilities for robotics, medical devices, and advanced machinery. Potential applications include: 🔹 Dexterous robotic manipulators 🔹 Surgical and medical systems 🔹 Humanoid robots 🔹 Precision manufacturing equipment 🔹 Next-generation mechanical designs Sometimes the biggest breakthroughs aren't new robots. They're the components that make future robots possible. Could mechanisms like this become the foundation of more human-like robotic movement? 🎥 Media: Yamagata University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #Engineering #Innovation #MechanicalEngineering #RobotDesign #Automation #FutureTech #AdvancedManufacturing #Technology

What if a robotic joint could move in almost any direction? ⚙️🤖 Researchers in Japan developed an innovative active ball joint mechanism that rethinks how machines generate motion. Unlike conventional joints with fixed axes, this design enables highly flexible movement from a compact structure, opening new possibilities for robotics, medical devices, and advanced machinery. Potential applications include: 🔹 Dexterous robotic manipulators 🔹 Surgical and medical systems 🔹 Humanoid robots 🔹 Precision manufacturing equipment 🔹 Next-generation mechanical designs Sometimes the biggest breakthroughs aren't new robots. They're the components that make future robots possible. Could mechanisms like this become the foundation of more human-like robotic movement? 🎥 Media: Yamagata University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #Engineering #Innovation #MechanicalEngineering #RobotDesign #Automation #FutureTech #AdvancedManufacturing #Technology

CTO ROBOTICS Media

28,654 次观看 • 3 个月前

A flapping-wing drone that actually handles its own vibrations. BionicBird’s X-Fly is not a propeller drone. It is an ornithopter with a six-axis gyro and precision G-sensors designed specifically to deal with the chaotic dynamics of wing flapping. • Sensor fusion tuned for flapping flight, not propeller stability • Ultra-light motors and custom kinematics • Biomimetic wings that alternate between flapping and gliding • No exposed propellers, lightweight and safe by design Instead of forcing nature into quadcopter physics, they designed the control system around how birds actually fly. Credit: —- Weekly robotics and AI insights. Subscribe free:

A flapping-wing drone that actually handles its own vibrations. BionicBird’s X-Fly is not a propeller drone. It is an ornithopter with a six-axis gyro and precision G-sensors designed specifically to deal with the chaotic dynamics of wing flapping. • Sensor fusion tuned for flapping flight, not propeller stability • Ultra-light motors and custom kinematics • Biomimetic wings that alternate between flapping and gliding • No exposed propellers, lightweight and safe by design Instead of forcing nature into quadcopter physics, they designed the control system around how birds actually fly. Credit: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

36,291 次观看 • 8 个月前

No one could turn down a humanoid robot with human-like tactile sensitivity. JQ Industries equipped the Unitree G1 humanoid robot with a fabric-based electronic skin (piezoresistive flexible tactile sensors). A light touch can convert pressure, deformation, and slip into electrical signals, which are then processed by AI for real-time closed-loop control.(Integrates NVIDIA Isaac Sim) With this skin,humanoid robots start to behave more naturally: Touch sensing is no longer limited to dexterous hands,the entire body can feel, allowing the robot to stop or adjust posture instantly during collisions. It can also detect hugs, taps on the shoulder, or gentle touches, and respond in a softer, more human-like way. This matters especially in elder care and medical rehabilitation. A humanoid robot could gently help someone stand up, or control force precisely during assisted massage without harming the skin. Rigid mechanical systems deliver superhuman physical strength, while flexible sensing systems enable nuanced emotions. Electronic skin bridges high intelligence and high emotional intelligence.

No one could turn down a humanoid robot with human-like tactile sensitivity. JQ Industries equipped the Unitree G1 humanoid robot with a fabric-based electronic skin (piezoresistive flexible tactile sensors). A light touch can convert pressure, deformation, and slip into electrical signals, which are then processed by AI for real-time closed-loop control.(Integrates NVIDIA Isaac Sim) With this skin,humanoid robots start to behave more naturally: Touch sensing is no longer limited to dexterous hands,the entire body can feel, allowing the robot to stop or adjust posture instantly during collisions. It can also detect hugs, taps on the shoulder, or gentle touches, and respond in a softer, more human-like way. This matters especially in elder care and medical rehabilitation. A humanoid robot could gently help someone stand up, or control force precisely during assisted massage without harming the skin. Rigid mechanical systems deliver superhuman physical strength, while flexible sensing systems enable nuanced emotions. Electronic skin bridges high intelligence and high emotional intelligence.

CyberRobo

22,118 次观看 • 6 个月前

Reporting from CES 2026 LG Electronics has unveiled LG CLOiD, an AI-powered home robot, advancing its “Zero Labor Home” vision to automate chores. CLOiD features: • Wheeled base for safe navigation • Tilting torso • Two 7-DoF arms with 5-fingered hands for precise manipulation • Head as mobile AI hub equipped with a chipset (its brain), display, speakers, cameras, sensors, and voice-based generative AI for communication, learning user patterns, and appliance control Powered by LG’s Physical AI (VLM for understanding + VLA for actions), trained on tens of thousands of hours of household task data. It performs tasks like breakfast prep, laundry (loading/folding), dishwasher unloading, and more. LG also launched AXIUM actuators lineup for efficient robotics solutions. Vision for the future: AI-driven homes freeing time for meaningful activities.

Reporting from CES 2026 LG Electronics has unveiled LG CLOiD, an AI-powered home robot, advancing its “Zero Labor Home” vision to automate chores. CLOiD features: • Wheeled base for safe navigation • Tilting torso • Two 7-DoF arms with 5-fingered hands for precise manipulation • Head as mobile AI hub equipped with a chipset (its brain), display, speakers, cameras, sensors, and voice-based generative AI for communication, learning user patterns, and appliance control Powered by LG’s Physical AI (VLM for understanding + VLA for actions), trained on tens of thousands of hours of household task data. It performs tasks like breakfast prep, laundry (loading/folding), dishwasher unloading, and more. LG also launched AXIUM actuators lineup for efficient robotics solutions. Vision for the future: AI-driven homes freeing time for meaningful activities.

The Humanoid Hub

82,570 次观看 • 9 个月前

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

44,161 次观看 • 6 个月前

This robot explores the world like a mouse! 🐁 That's an OG project, guess the year ;) A mouse-inspired bot called WhiskEye travels the world with 24 artificial whiskers and spiking neurons that mimic a nervous system. Recognizing familiar places is essential for engineering applications like robot navigation, where interactions with the real world are key. Combining information from multiple senses helps to make better accuracy and robustness, but challenges like mismatched data and sensor errors complicate this process. Inspired by how animals navigate seamlessly, researchers developed predictive coding, a self-supervised learning method based on the brain's visual cortex model. It combines visual and tactile cues from a robot, outperforming existing methods in recognizing places, even when some sensors fail. What a great project from BristolRoboticsLab and Sheffield Robotics! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

This robot explores the world like a mouse! 🐁 That's an OG project, guess the year ;) A mouse-inspired bot called WhiskEye travels the world with 24 artificial whiskers and spiking neurons that mimic a nervous system. Recognizing familiar places is essential for engineering applications like robot navigation, where interactions with the real world are key. Combining information from multiple senses helps to make better accuracy and robustness, but challenges like mismatched data and sensor errors complicate this process. Inspired by how animals navigate seamlessly, researchers developed predictive coding, a self-supervised learning method based on the brain's visual cortex model. It combines visual and tactile cues from a robot, outperforming existing methods in recognizing places, even when some sensors fail. What a great project from BristolRoboticsLab and Sheffield Robotics! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

36,775 次观看 • 8 个月前

GOOD NEWS ⚙️ During the launch event, Tesla Semi program lead Dan Priestley and Tesla engineering executive Lars Moravy said that Tesla has extensively redesigned the Semi’s drivetrain for volume production 🔥 The original Plaid-derived motor used a carbon-fiber-sleeved rotor, but Tesla replaced it with a steel-caged design intended to be cheaper, lighter, more efficient and more reliable. A stator shared with Cybertruck also allows Tesla to reuse an existing design and production line. Altogether, the redesigned drive axle is approximately 80 kg lighter. Tesla also replaced hydraulic steering with a fully redundant electric steer-by-wire system based on Cybertruck technology. Tesla says it eliminates hydraulic losses and leaks, makes the truck autonomous-ready and delivers exceptionally fast, precise steering. Combined with precise throttle control and greater wheel cut, it gives the Semi a turning radius reportedly close to a Model Y—making it easier to maneuver in cities and loading docks.

GOOD NEWS ⚙️ During the launch event, Tesla Semi program lead Dan Priestley and Tesla engineering executive Lars Moravy said that Tesla has extensively redesigned the Semi’s drivetrain for volume production 🔥 The original Plaid-derived motor used a carbon-fiber-sleeved rotor, but Tesla replaced it with a steel-caged design intended to be cheaper, lighter, more efficient and more reliable. A stator shared with Cybertruck also allows Tesla to reuse an existing design and production line. Altogether, the redesigned drive axle is approximately 80 kg lighter. Tesla also replaced hydraulic steering with a fully redundant electric steer-by-wire system based on Cybertruck technology. Tesla says it eliminates hydraulic losses and leaks, makes the truck autonomous-ready and delivers exceptionally fast, precise steering. Combined with precise throttle control and greater wheel cut, it gives the Semi a turning radius reportedly close to a Model Y—making it easier to maneuver in cities and loading docks.

Ming

51,778 次观看 • 10 天前

Researchers at Caltech have built a bipedal robot that combines walking with flying to create a new type of locomotion, making it exceptionally nimble and capable of complex movements. Part walking robot, part flying drone, LEONARDO (short for LEgs ONboARD drOne, or LEO for short) can walk a slackline, hop, and even ride a skateboard. Developed by a team at Caltech's Center for Autonomous Systems and Technologies (CAST), LEO is the first robot that uses multi-joint legs and propeller-based thrusters to achieve a fine degree of control over its balance. Video Credit: Caltech #robots #robotics #engineering #caltech -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.

Researchers at Caltech have built a bipedal robot that combines walking with flying to create a new type of locomotion, making it exceptionally nimble and capable of complex movements. Part walking robot, part flying drone, LEONARDO (short for LEgs ONboARD drOne, or LEO for short) can walk a slackline, hop, and even ride a skateboard. Developed by a team at Caltech's Center for Autonomous Systems and Technologies (CAST), LEO is the first robot that uses multi-joint legs and propeller-based thrusters to achieve a fine degree of control over its balance. Video Credit: Caltech #robots #robotics #engineering #caltech -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.

Wevolver

20,044 次观看 • 1 年前

Prime Minister Shehbaz Sharif, today, launched the Artificial Intelligence (AI)-based Prime Minister Office System (PMOS), describing it as a transformative digital platform that will modernise governance by recording, communicating, monitoring and tracking every directive issued by the Prime Minister from issuance through implementation, verified completion and post-completion monitoring. Addressing the launch ceremony at the Prime Minister's Office, the prime minister directed all relevant authorities to ensure the immediate and full implementation of the new AI-based system, making it clear that traditional paper-based working would be replaced by digital processes. "From today onwards, I will not expect any of you with a file in your hands. Everything will be discussed through this mechanism," the prime minister said. He praised Minister for Information Technology and Telecommunication Shaza Fatima Khawaja and Secretary IT for their efforts in developing and operationalising the system. He urged all ministries and government departments to adopt the platform, saying it would significantly improve the government's ability to deliver results. "This would make service delivery easier," he remarked. The ceremony was attended by Minister for Economic Affairs Ahad Khan Cheema, Minister for Information Technology Shaza Fatima Khawaja, and other senior officials. During the ceremony, the prime minister was given a comprehensive briefing on the AI-powered platform and its objectives. The prime minister was informed that PMOS was the first government platform in Pakistan to integrate artificial intelligence as a central component of decision-making and implementation monitoring, calling it a trailblazer for the digital transformation of the federal government. According to the briefing, PMOS had been developed at the centre of government to ensure efficient communication of the prime minister's directives throughout the government machinery while enabling timely implementation in accordance with defined quality standards. The system also serves as a secure technology-driven decision-support platform by integrating analytics and structured information within a protected IT environment. During the briefing, it was informed that PMOS would facilitate continuous policy calibration by enabling the government to utilise technological, human and financial resources more effectively to generate better economic outcomes. By introducing the platform at the Prime Minister's Office, the government intends to embed governance reforms at the highest level before extending them across the wider administrative structure. At the heart of the platform is a comprehensive digital repository that records every directive issued by the prime minister together with the complete chain of implementation, making PMOS both an institutional knowledge base and a permanent record of government decision-making. Unlike conventional government tracking systems, the briefing explained, PMOS incorporates an artificial intelligence layer capable of reading, classifying and analysing directives rather than merely storing them.

Prime Minister Shehbaz Sharif, today, launched the Artificial Intelligence (AI)-based Prime Minister Office System (PMOS), describing it as a transformative digital platform that will modernise governance by recording, communicating, monitoring and tracking every directive issued by the Prime Minister from issuance through implementation, verified completion and post-completion monitoring. Addressing the launch ceremony at the Prime Minister's Office, the prime minister directed all relevant authorities to ensure the immediate and full implementation of the new AI-based system, making it clear that traditional paper-based working would be replaced by digital processes. "From today onwards, I will not expect any of you with a file in your hands. Everything will be discussed through this mechanism," the prime minister said. He praised Minister for Information Technology and Telecommunication Shaza Fatima Khawaja and Secretary IT for their efforts in developing and operationalising the system. He urged all ministries and government departments to adopt the platform, saying it would significantly improve the government's ability to deliver results. "This would make service delivery easier," he remarked. The ceremony was attended by Minister for Economic Affairs Ahad Khan Cheema, Minister for Information Technology Shaza Fatima Khawaja, and other senior officials. During the ceremony, the prime minister was given a comprehensive briefing on the AI-powered platform and its objectives. The prime minister was informed that PMOS was the first government platform in Pakistan to integrate artificial intelligence as a central component of decision-making and implementation monitoring, calling it a trailblazer for the digital transformation of the federal government. According to the briefing, PMOS had been developed at the centre of government to ensure efficient communication of the prime minister's directives throughout the government machinery while enabling timely implementation in accordance with defined quality standards. The system also serves as a secure technology-driven decision-support platform by integrating analytics and structured information within a protected IT environment. During the briefing, it was informed that PMOS would facilitate continuous policy calibration by enabling the government to utilise technological, human and financial resources more effectively to generate better economic outcomes. By introducing the platform at the Prime Minister's Office, the government intends to embed governance reforms at the highest level before extending them across the wider administrative structure. At the heart of the platform is a comprehensive digital repository that records every directive issued by the prime minister together with the complete chain of implementation, making PMOS both an institutional knowledge base and a permanent record of government decision-making. Unlike conventional government tracking systems, the briefing explained, PMOS incorporates an artificial intelligence layer capable of reading, classifying and analysing directives rather than merely storing them.

Prime Minister's Office

151,225 次观看 • 2 个月前

Can an inexpensive, off-the-shelf IMU be the only sensor to estimate the full state (position, velocity, orientation) of a quadrotor flying through a track at high speed and even be on-pair with vision-based localization? The answer is yes, within certain limitations! In this #RAL2023 paper, we propose a learning-based odometry algorithm that couples a model-based filter driven by the inertial measurements with a learning-based module with access to the control commands. Our system outperforms by a large margin the state-of-the-art visual-inertial odometry (#VIO) algorithms and the state-of-the-art learned-inertial odometry algorithm, #TLIO, for the task of drone racing. Additionally, we show that our system is as accurate as a VIO algorithm that uses a camera to localize to a known map of the racing track. The main limitation of our approach is that it cannot generalize to trajectories that have not been seen at training time. However, in drone racing competitions, the track is known beforehand. Human pilots spend hours or even days of practice on the race track before the competition. Similarly, our system can be trained with the data collected during practice time and deployed during the competition. Future work will investigate how to generalize to trajectories not seen at training time. The code is released! Paper: Video: Code: Kudos to Giovanni Cioffi Leonard Bauersfeld Elia Kaufmann European Research Council (ERC) University of Zurich UZH Science UZH Space Hub NCCR Robotics Aerial Core #RAL2023 #IROS2023 #SLAM

Can an inexpensive, off-the-shelf IMU be the only sensor to estimate the full state (position, velocity, orientation) of a quadrotor flying through a track at high speed and even be on-pair with vision-based localization? The answer is yes, within certain limitations! In this #RAL2023 paper, we propose a learning-based odometry algorithm that couples a model-based filter driven by the inertial measurements with a learning-based module with access to the control commands. Our system outperforms by a large margin the state-of-the-art visual-inertial odometry (#VIO) algorithms and the state-of-the-art learned-inertial odometry algorithm, #TLIO, for the task of drone racing. Additionally, we show that our system is as accurate as a VIO algorithm that uses a camera to localize to a known map of the racing track. The main limitation of our approach is that it cannot generalize to trajectories that have not been seen at training time. However, in drone racing competitions, the track is known beforehand. Human pilots spend hours or even days of practice on the race track before the competition. Similarly, our system can be trained with the data collected during practice time and deployed during the competition. Future work will investigate how to generalize to trajectories not seen at training time. The code is released! Paper: Video: Code: Kudos to Giovanni Cioffi Leonard Bauersfeld Elia Kaufmann European Research Council (ERC) University of Zurich UZH Science UZH Space Hub NCCR Robotics Aerial Core #RAL2023 #IROS2023 #SLAM

Davide Scaramuzza

37,061 次观看 • 3 年前