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Most humanlike robotic hand ever built❓ Developed by Sharpa in Singapore, it’s a 1:1 life-size, 22-DoF robotic hand designed for both precision and strength! Capable of manipulating fragile objects like an egg or applying 30 N of fingertip force without damage. ✅ Over 1,000 tactile pixels per fingertip with... show more

Ilir Aliu - eu/acc

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23,360 views • 9 months ago •via X (Twitter)

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Sharpa Robotics officially launched its dexterous hand, the SharpaWave, on October 16, moving it into mass production. The hand, which impressed many at ICRA 2025, is built around what the company calls a "Dynamic Tactile Array" (DTA) for high-fidelity sensing. Key specs from the official brochure are noteworthy: • Human-like design: 22 degrees of freedom in a 1:1 human-sized form factor. • Advanced sensing: The DTA features >1000 tactile pixels per fingertip, 20 N of fingertip strength with a movement speed of >4 Hz across all gestures. With out-of-the-box support for ROS and MuJoCo simulation, Sharpa is making a clear play for the robotics R&D community.

Sharpa Robotics officially launched its dexterous hand, the SharpaWave, on October 16, moving it into mass production. The hand, which impressed many at ICRA 2025, is built around what the company calls a "Dynamic Tactile Array" (DTA) for high-fidelity sensing. Key specs from the official brochure are noteworthy: • Human-like design: 22 degrees of freedom in a 1:1 human-sized form factor. • Advanced sensing: The DTA features >1000 tactile pixels per fingertip, 20 N of fingertip strength with a movement speed of >4 Hz across all gestures. With out-of-the-box support for ROS and MuJoCo simulation, Sharpa is making a clear play for the robotics R&D community.

Humanoids daily

66,083 views • 10 months ago

Feeling what a robot feels is becoming real! 🫰 Fluid Reality just ran its first full end-to-end touch teleoperation system, and the demo shows why high-resolution haptics might be the missing piece in robot control. A 22 mm fingertip display with 32 independently actuated “bubbles” was mapped directly to tactile sensors on a robot hand. 🫧 Three fingers streamed real-time touch data robot → human, giving the operator actual contact feedback instead of waving their hands blind, like most teleop systems today. It’s still early, but this is a real step toward dexterous ops and high-quality data for training Physical AI systems. Companies involved: Samsung Electronics, Alt-Bionics, Inc. (the robot hand), MANUS™ (hand tracking), and Sensible Robotics (fingertip sensors) Touch isn’t a nice-to-have in robotics. It’s the difference between manipulation that works in the real world P.S. Guess how many touch receptors we humans, have in our hand! :) ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Feeling what a robot feels is becoming real! 🫰 Fluid Reality just ran its first full end-to-end touch teleoperation system, and the demo shows why high-resolution haptics might be the missing piece in robot control. A 22 mm fingertip display with 32 independently actuated “bubbles” was mapped directly to tactile sensors on a robot hand. 🫧 Three fingers streamed real-time touch data robot → human, giving the operator actual contact feedback instead of waving their hands blind, like most teleop systems today. It’s still early, but this is a real step toward dexterous ops and high-quality data for training Physical AI systems. Companies involved: Samsung Electronics, Alt-Bionics, Inc. (the robot hand), MANUS™ (hand tracking), and Sensible Robotics (fingertip sensors) Touch isn’t a nice-to-have in robotics. It’s the difference between manipulation that works in the real world P.S. Guess how many touch receptors we humans, have in our hand! :) ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

46,927 views • 8 months ago

Holy…S😳 Xiaomi's New CyberOne is so human-like Although this update features a bionic hand, I was immediately drawn to it. Let's look at the changes in the hand： It can handle industrial precision tasks like turning screws, plus delicate operations such as pinching feathers and throwing balloons. Behind the performance: >Volume cut by 60%:now almost identical in size/shape to a real human hand >Big leap in degrees of freedom (+50% total, +83% active:22-27DOF) >Full-palm tactile sensors over 8200 mm² for precise grip even without vision >150,000+ grip cycles durability (61-hour test) And a major innovation:Smart bionic sweat gland cooling: evaporates water for ~10W active heat dissipation Using tactile gloves to capture real human data, they’re training smoother, human-like grasps with imitation and reinforcement learning. Elon has said that humanoid hands and true AI are the most difficult aspects of building humanoid robots. It seems that Xiaomi is also getting close.

Holy…S😳 Xiaomi's New CyberOne is so human-like Although this update features a bionic hand, I was immediately drawn to it. Let's look at the changes in the hand： It can handle industrial precision tasks like turning screws, plus delicate operations such as pinching feathers and throwing balloons. Behind the performance: >Volume cut by 60%:now almost identical in size/shape to a real human hand >Big leap in degrees of freedom (+50% total, +83% active:22-27DOF) >Full-palm tactile sensors over 8200 mm² for precise grip even without vision >150,000+ grip cycles durability (61-hour test) And a major innovation:Smart bionic sweat gland cooling: evaporates water for ~10W active heat dissipation Using tactile gloves to capture real human data, they’re training smoother, human-like grasps with imitation and reinforcement learning. Elon has said that humanoid hands and true AI are the most difficult aspects of building humanoid robots. It seems that Xiaomi is also getting close.

CyberRobo

111,430 views • 4 months ago

$Most robotics teams can make a robot move… very few can make it work every day in the real world! @roboforce_inc was just featured in Jensen Huang’s GTC keynote, not for a demo but for a robot they claim is already working in the field. Their system, TITAN, is built for industrial environments: ✅ 40 kg dual-arm payload ✅ millimeter-level precision ✅ 8 hours runtime ✅ early pilots in energy, logistics, and manufacturing They call it Physical AI: The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical. IMO, what stands out isn’t the specs. It’s the claim of 11,000 robot orders❗️ If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!?? The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me. It’s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings. It’s an unusual perspective in a time when humanoids get most of the attention. If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version. Seen at —- Weekly robotics and AI insights. Subscribe free:$

Most robotics teams can make a robot move… very few can make it work every day in the real world! @roboforce_inc was just featured in Jensen Huang’s GTC keynote, not for a demo but for a robot they claim is already working in the field. Their system, TITAN, is built for industrial environments: ✅ 40 kg dual-arm payload ✅ millimeter-level precision ✅ 8 hours runtime ✅ early pilots in energy, logistics, and manufacturing They call it Physical AI: The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical. IMO, what stands out isn’t the specs. It’s the claim of 11,000 robot orders❗️ If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!?? The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me. It’s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings. It’s an unusual perspective in a time when humanoids get most of the attention. If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version. Seen at —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

27,741 views • 9 months ago

A policy that teaches robot hands to touch things the way humans do... not just grab and move, but feel and adjust in real time. Robot manipulation research often stops at picking up objects and placing them. CGP goes further: it handles tasks like opening jars, flipping objects in-hand, wiping dishes, and grasping fragile eggs, the kind of dexterous, contact-rich skills that require constant micro-adjustments based on what the fingers are actually feeling. The robot doesn't just see what it's doing; it predicts what contact should feel like at each step, then checks whether reality matches the prediction. If a finger is slipping, the policy knows before the object drops. Works on real robot hands (both 4-finger and 5-finger designs) with tactile sensors embedded in the fingertips Robust to visual distractions! The robot keeps flipping a box correctly even when the camera view is disrupted, because it's grounding decisions in touch, not just vision. Baseline policies without contact grounding fail in predictable ways: slipping mid-task, incomplete motions, loss of grasp, CGP avoids these This is a meaningful step toward robots that can handle the physical world with the kind of reliable, adaptive grip that humans take for granted. Relevant for manufacturing, logistics, assistive robotics, and anywhere fragile or irregular objects need to be handled carefully. Published at RSS 2026, developed with Meta Reality Labs Research. Thanks for sharing, Zhengtong Xu / Zhengtong Xu ——- Weekly robotics and AI insights. Subscribe free:

A policy that teaches robot hands to touch things the way humans do... not just grab and move, but feel and adjust in real time. Robot manipulation research often stops at picking up objects and placing them. CGP goes further: it handles tasks like opening jars, flipping objects in-hand, wiping dishes, and grasping fragile eggs, the kind of dexterous, contact-rich skills that require constant micro-adjustments based on what the fingers are actually feeling. The robot doesn't just see what it's doing; it predicts what contact should feel like at each step, then checks whether reality matches the prediction. If a finger is slipping, the policy knows before the object drops. Works on real robot hands (both 4-finger and 5-finger designs) with tactile sensors embedded in the fingertips Robust to visual distractions! The robot keeps flipping a box correctly even when the camera view is disrupted, because it's grounding decisions in touch, not just vision. Baseline policies without contact grounding fail in predictable ways: slipping mid-task, incomplete motions, loss of grasp, CGP avoids these This is a meaningful step toward robots that can handle the physical world with the kind of reliable, adaptive grip that humans take for granted. Relevant for manufacturing, logistics, assistive robotics, and anywhere fragile or irregular objects need to be handled carefully. Published at RSS 2026, developed with Meta Reality Labs Research. Thanks for sharing, Zhengtong Xu / Zhengtong Xu ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

12,769 views • 2 months ago

Robots are getting smarter, but most still fail the same way. They don’t learn from their own mistakes. A new paper proposes something different: a way for robots to self-improve directly from their failures in the real world. It’s called PLD (Probe, Learn, Distill). The idea: instead of collecting endless human demos, let the robot figure out where it fails, learn how to recover, and then distill that knowledge back into its main model. Key takeaways from the research: ✅ Uses residual reinforcement learning to recover from policy failures ✅ Achieves 99% success on LIBERO and 100% on real Franka and YAM arms ✅ Runs hour-long manipulation tasks without human resets ✅ Builds a feedback loop between real-world data and model adaptation Unlike supervised fine-tuning, which relies on humans, PLD learns from the robot’s own experience. By training on its own failure distribution, the model becomes both more efficient and more aligned with the real world. It’s not just a technical shift, it’s a step toward robots that improve themselves through real-world practice. Thanks for sharing, Wenli Xiao !! Paper and demos: —- Weekly robotics and AI insights. Subscribe free:

Robots are getting smarter, but most still fail the same way. They don’t learn from their own mistakes. A new paper proposes something different: a way for robots to self-improve directly from their failures in the real world. It’s called PLD (Probe, Learn, Distill). The idea: instead of collecting endless human demos, let the robot figure out where it fails, learn how to recover, and then distill that knowledge back into its main model. Key takeaways from the research: ✅ Uses residual reinforcement learning to recover from policy failures ✅ Achieves 99% success on LIBERO and 100% on real Franka and YAM arms ✅ Runs hour-long manipulation tasks without human resets ✅ Builds a feedback loop between real-world data and model adaptation Unlike supervised fine-tuning, which relies on humans, PLD learns from the robot’s own experience. By training on its own failure distribution, the model becomes both more efficient and more aligned with the real world. It’s not just a technical shift, it’s a step toward robots that improve themselves through real-world practice. Thanks for sharing, Wenli Xiao !! Paper and demos: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

22,872 views • 9 months ago

A stunning piece of engineering!! 1X unveils the new humanoid hand for NEO - 25 degrees of freedom: 22 fully actuated in the fingers and palm, plus 3 at the wrist. - The DoF are distributed anatomically rather than evenly, deliberately biased toward a thumb that genuinely opposes the fingers. - In-house tendon-driven, quasi-direct-drive running low gear ratios of ~5:1 to 15:1 vs the typical 100:1–200:1. - Motors live in the forearm and pull tendons through the wrist. This keeps the hand light and its inertia low while producing high forces. Sensing - All 25 DoF are natively force-controlled and fully backdrivable. Every joint doubles as a force sensor. - Very important, closed-loop proprioception: it always knows its own pose and effort without looking. - Tactile skin across the fingertips and surfaces measuring contact and shear. This helps with adaptive gripping in real time. Safety and durability - IP68 waterproof and food-safe, so it can wash its own hands. - Compliant by construction: the low gear ratios, tendon drive, and low distal inertia let external impacts safely backdrive the fingers. It yields when hit by a hammer or caught in a drawer. - Full finger assemblies validated to millions of cycles. Manufacturing - Deep vertical integration: in-house motors, custom electronics, and tendon systems. - Hundreds built already, with capacity to produce 10,000 hands this year. "An API to the Physical World"

A stunning piece of engineering!! 1X unveils the new humanoid hand for NEO - 25 degrees of freedom: 22 fully actuated in the fingers and palm, plus 3 at the wrist. - The DoF are distributed anatomically rather than evenly, deliberately biased toward a thumb that genuinely opposes the fingers. - In-house tendon-driven, quasi-direct-drive running low gear ratios of ~5:1 to 15:1 vs the typical 100:1–200:1. - Motors live in the forearm and pull tendons through the wrist. This keeps the hand light and its inertia low while producing high forces. Sensing - All 25 DoF are natively force-controlled and fully backdrivable. Every joint doubles as a force sensor. - Very important, closed-loop proprioception: it always knows its own pose and effort without looking. - Tactile skin across the fingertips and surfaces measuring contact and shear. This helps with adaptive gripping in real time. Safety and durability - IP68 waterproof and food-safe, so it can wash its own hands. - Compliant by construction: the low gear ratios, tendon drive, and low distal inertia let external impacts safely backdrive the fingers. It yields when hit by a hammer or caught in a drawer. - Full finger assemblies validated to millions of cycles. Manufacturing - Deep vertical integration: in-house motors, custom electronics, and tendon systems. - Hundreds built already, with capacity to produce 10,000 hands this year. "An API to the Physical World"

The Humanoid Hub

1,272,604 views • 1 month ago

U.S. based humanoid robotics company 1X has just unveiled their new tendon-driven robot hands with 25 degrees of freedom (DOF). • Made in USA • Tendon Drive Ratio: 5:1–15:1 • Wrist Dexterity: 3 DOF • Backdrivability: Fully backdrivable • Tactile Sensing: Pressure + location + slip • Finger Force: Up to 45 N • Wrist Torque: 17.75 Nm • Position Accuracy: ±0.2 mm • Waterproof Rating: IP68 • Reliability: >2 million cycles "These hands are designed to do something fundamental: remove the hardware ceiling on what humanoid robots can actually do, and make data the only barrier to capabilities. By matching or surpassing human hands across the dimensions that matter, they ensure our AI models are no longer limited by dexterity. NEO can now perform virtually any task a human can do with their hands– with the precision, adaptability, and gentleness required for real-world environments."

U.S. based humanoid robotics company 1X has just unveiled their new tendon-driven robot hands with 25 degrees of freedom (DOF). • Made in USA • Tendon Drive Ratio: 5:1–15:1 • Wrist Dexterity: 3 DOF • Backdrivability: Fully backdrivable • Tactile Sensing: Pressure + location + slip • Finger Force: Up to 45 N • Wrist Torque: 17.75 Nm • Position Accuracy: ±0.2 mm • Waterproof Rating: IP68 • Reliability: >2 million cycles "These hands are designed to do something fundamental: remove the hardware ceiling on what humanoid robots can actually do, and make data the only barrier to capabilities. By matching or surpassing human hands across the dimensions that matter, they ensure our AI models are no longer limited by dexterity. NEO can now perform virtually any task a human can do with their hands– with the precision, adaptability, and gentleness required for real-world environments."

Sawyer Merritt

743,203 views • 1 month ago

NEW ROBOT BENCHMARK: If your robot can do Origami, it can do anything! Called The Robotic Origami Challenge, it is a dexterous-manipulation competition and benchmark held at IROS 2026, organized by 13 co-organizers with the Nippon Origami Association as judge and task curator -> pretty cool to have them on board imho. The evaluation consists of single task: a traditional Japanese paper airplane, in exactly six folds, from a 15×15 cm sheet of ≥60 gsm paper, on a competition-supplied standardized rig (bimanual arms + Sharpa Hands), both remotely and on-site. Teams bring policies, not hardware. An "Origami Grand Master" declares pass/fail on crease accuracy, structural fidelity, symmetry and paper integrity. Among passes, faster folds rank higher, with a 10-minute-per-attempt ceiling and flight explicitly irrelevant to the score. -> I find it interesting how they chose to evaluate the task. Quality is a binary pass or fail, therefore speed becomes the only thing graded here. Speed is currently the bottleneck in dexterous manipulation though, so this choice makes sense. I wonder whether there could be finer ways to grade the qaulity of such a creative task though. When it comes to data, registered teams get 500+ teleoperation episodes (six camera streams, 65-D joint state/action, 10-fingertip 6-axis tactile), an NVIDIA Isaac Sim environment with thin-shell paper physics (plastic creasing + fold memory), digital twins of every partner hand, and a remote eval lab (upload a policy, queue an eval, get scored). Still, I think it is a great dexterity benchmark the field badly needs, it supplies the hardware, an outside human judges, and the pass criterion is externally defined -> all three degrees of freedom are checked! Neutral measurement layer, here we go! The task is engineered to be un-gameable and to isolate pure dexterity. A known figure, exactly six folds, judged on creases, with flight explicitly declared irrelevant (the latter makes sense to me). Therefore, this underlines the goal to focus on dexterity, not task-selection or other strategies. I really like origami as an ideal controlled dexterity task: deterministic goal, deformable medium, sequential, bimanual, precision-bound. I am just not quite satisfied again by the binary pass or fail, I think quality of execution could be finely graded! But again, I understand this is not the goal yet. Also interesting to see the Sharpa Hands as de facto standard for everyone. Total land-grab that anoints Sharpa as the reference dexterous hand, also featured in Google's Gemini Robotics 2. By providing the hardware, the benchmark measures software while quietly making "good on Sharpa" the definition of good, and Sharpa gets real world data and feedback as a bonus. That's smart, the data flywheel starts spinning. The provided dataset is the richest tactile-manipulation corpus I have seen yet: 10-fingertip 6-axis tactile, plus plastic creasing and fold memory. 500+ teleop episodes with six camera streams, 65-D joint state/action, and ten fingertip 6-axis tactile sensors. The force/tactile channel are parts of the the benchmark's data, this is the first time I see this. Credits where it's due: organizers include Yang Gao, Noriaki Hirose, Steve Xie, Chris Paxton, Jiafei Duan, Michael Cho - Rbt/Acc, Michael Yuan, Haoquan Fang, and others.

NEW ROBOT BENCHMARK: If your robot can do Origami, it can do anything! Called The Robotic Origami Challenge, it is a dexterous-manipulation competition and benchmark held at IROS 2026, organized by 13 co-organizers with the Nippon Origami Association as judge and task curator -> pretty cool to have them on board imho. The evaluation consists of single task: a traditional Japanese paper airplane, in exactly six folds, from a 15×15 cm sheet of ≥60 gsm paper, on a competition-supplied standardized rig (bimanual arms + Sharpa Hands), both remotely and on-site. Teams bring policies, not hardware. An "Origami Grand Master" declares pass/fail on crease accuracy, structural fidelity, symmetry and paper integrity. Among passes, faster folds rank higher, with a 10-minute-per-attempt ceiling and flight explicitly irrelevant to the score. -> I find it interesting how they chose to evaluate the task. Quality is a binary pass or fail, therefore speed becomes the only thing graded here. Speed is currently the bottleneck in dexterous manipulation though, so this choice makes sense. I wonder whether there could be finer ways to grade the qaulity of such a creative task though. When it comes to data, registered teams get 500+ teleoperation episodes (six camera streams, 65-D joint state/action, 10-fingertip 6-axis tactile), an NVIDIA Isaac Sim environment with thin-shell paper physics (plastic creasing + fold memory), digital twins of every partner hand, and a remote eval lab (upload a policy, queue an eval, get scored). Still, I think it is a great dexterity benchmark the field badly needs, it supplies the hardware, an outside human judges, and the pass criterion is externally defined -> all three degrees of freedom are checked! Neutral measurement layer, here we go! The task is engineered to be un-gameable and to isolate pure dexterity. A known figure, exactly six folds, judged on creases, with flight explicitly declared irrelevant (the latter makes sense to me). Therefore, this underlines the goal to focus on dexterity, not task-selection or other strategies. I really like origami as an ideal controlled dexterity task: deterministic goal, deformable medium, sequential, bimanual, precision-bound. I am just not quite satisfied again by the binary pass or fail, I think quality of execution could be finely graded! But again, I understand this is not the goal yet. Also interesting to see the Sharpa Hands as de facto standard for everyone. Total land-grab that anoints Sharpa as the reference dexterous hand, also featured in Google's Gemini Robotics 2. By providing the hardware, the benchmark measures software while quietly making "good on Sharpa" the definition of good, and Sharpa gets real world data and feedback as a bonus. That's smart, the data flywheel starts spinning. The provided dataset is the richest tactile-manipulation corpus I have seen yet: 10-fingertip 6-axis tactile, plus plastic creasing and fold memory. 500+ teleop episodes with six camera streams, 65-D joint state/action, and ten fingertip 6-axis tactile sensors. The force/tactile channel are parts of the the benchmark's data, this is the first time I see this. Credits where it's due: organizers include Yang Gao, Noriaki Hirose, Steve Xie, Chris Paxton, Jiafei Duan, Michael Cho - Rbt/Acc, Michael Yuan, Haoquan Fang, and others.

Léo

22,827 views • 8 days ago

Xpeng unveiled its next-generation IRON humanoid robot at the 2025 Xpeng Tech Day. This version emphasizes a "born from within" bionic design philosophy, featuring a human-like spine structure, full flexible skin, and customizable physique, including the option for male and female forms. CEO He Xiaopeng confirmed this is the final pre-research version, with the mass-production model standing no taller than 170cm. IRON’s technical specs are aggressive: 🦾 Hardware: 82 total Degrees of Freedom (DoF), far above the average. Its hand boasts 22 DoF with industry-smallest harmonic joints for 1:1 human hand scale, enabling delicate tasks (grabbing eggs, unscrewing caps). 🧠 Intelligence: Runs on three Turing AI chips with 2,250 TOPS of effective computing power, currently the highest in humanoids. It debuts Xpeng's first-gen Physical World Large Model (VLT + VLA + VLM) for high-level dialogue and control. 🔋 Solid-State Power: IRON is the first to use full solid-state batteries, boosting power by 30% and reducing weight by 30%. Xpeng aims for this safety-critical sector to drive SS battery mass production. 🚀 Commercialization Plan: Xpeng will prioritize commercial scenarios like guidance, sales assistance, and inspection (jointly developing complex applications with partners like Baosteel Group). CEO He Xiaopeng plans aggressive scaled mass production of advanced humanoids by the end of 2026. The robot team is over 1,000 people.

Xpeng unveiled its next-generation IRON humanoid robot at the 2025 Xpeng Tech Day. This version emphasizes a "born from within" bionic design philosophy, featuring a human-like spine structure, full flexible skin, and customizable physique, including the option for male and female forms. CEO He Xiaopeng confirmed this is the final pre-research version, with the mass-production model standing no taller than 170cm. IRON’s technical specs are aggressive: 🦾 Hardware: 82 total Degrees of Freedom (DoF), far above the average. Its hand boasts 22 DoF with industry-smallest harmonic joints for 1:1 human hand scale, enabling delicate tasks (grabbing eggs, unscrewing caps). 🧠 Intelligence: Runs on three Turing AI chips with 2,250 TOPS of effective computing power, currently the highest in humanoids. It debuts Xpeng's first-gen Physical World Large Model (VLT + VLA + VLM) for high-level dialogue and control. 🔋 Solid-State Power: IRON is the first to use full solid-state batteries, boosting power by 30% and reducing weight by 30%. Xpeng aims for this safety-critical sector to drive SS battery mass production. 🚀 Commercialization Plan: Xpeng will prioritize commercial scenarios like guidance, sales assistance, and inspection (jointly developing complex applications with partners like Baosteel Group). CEO He Xiaopeng plans aggressive scaled mass production of advanced humanoids by the end of 2026. The robot team is over 1,000 people.

RoboHub🤖

23,275 views • 9 months ago

World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe! 🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address: 1️⃣ How can robots cooperate or compete intelligently? 2️⃣ How do humans build social bonds and communities? 3️⃣ How can both co-exist in an open, dynamic world? Announcing Virtual Community Project — a social-physical world simulator, where human characters and robotic agents can interact, grow, and co-evolve within open-world societies, stretching from London to New York, and beyond! Key features include: ✅ Unified multi-agent physics simulations for rich social + physical interactions of humans and robots ✅ Massive auto-generated 3D scenes grounded with the rea-world geospatial data ✅ Agent communities populated by robots and LLM-driven human characters with rich appearances, personalities, and social ties. 🌍 Enter our Virtual Community, an open world to study embodied AI at scale— one social-physical world model at a time! 🔗 Project: 💻 Code: Paper: 1/n

World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe! 🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address: 1️⃣ How can robots cooperate or compete intelligently? 2️⃣ How do humans build social bonds and communities? 3️⃣ How can both co-exist in an open, dynamic world? Announcing Virtual Community Project — a social-physical world simulator, where human characters and robotic agents can interact, grow, and co-evolve within open-world societies, stretching from London to New York, and beyond! Key features include: ✅ Unified multi-agent physics simulations for rich social + physical interactions of humans and robots ✅ Massive auto-generated 3D scenes grounded with the rea-world geospatial data ✅ Agent communities populated by robots and LLM-driven human characters with rich appearances, personalities, and social ties. 🌍 Enter our Virtual Community, an open world to study embodied AI at scale— one social-physical world model at a time! 🔗 Project: 💻 Code: Paper: 1/n

Chuang Gan

90,349 views • 1 year ago

Canada's first orbital-class rocket engine is now being manufactured! Our patent pending Hadfield-150 engine is the largest and most powerful rocket engine ever built in Canada, and the first known Canadian orbital-class engine to make it to this stage. The Hadfield-150 builds on everything we learned after years of painstakingly designing, manufacturing, and testing the Hadfield-10 series, our first regeneratively cooled and additively manufactured liquid rocket engine. Every engine test, both successful and unsuccessful on our Darkhorse test stand at Area 66, retired risk that's now carried straight into Hadfield-150 and sovereign orbital launch for Canada. A few details about the Hadfield-150 engine series: ✅ Designed to power Tundra and Tundra+, our light and medium-lift launch vehicles, and built to scale to Tempest, our larger reusable medium lift vehicle ✅ Manufactured entirely in-house, from design to print to test, for true sovereign launch capability ✅ Produced at Rocket Factory 1, on our expanding fleet of metal additive manufacturing systems at the AMA Lab, including the largest known metal 3D printer in Canada ✅ Designed for reusability and medium-lift scale from the outset, and built to significantly cut the time, infrastructure, manufacturing and cost iterative engine testing usually requires, with room to scale to even larger engines by leveraging the same design ✅ Capable of engine-out functionality, so losing one on an early flight doesn't have to mean losing the mission ✅ Optimized for Canada's Launch the North initiative, to deliver sovereign operational capability in a time and cost efficient manner Initial testing starts later this year at our new Blackhawk orbital engine test cell at Area 66, our private test range in Ontario. Stacked, integrated vehicle testing comes later at the Atlantic Spaceport Complex, our spaceport in Newfoundland and Labrador. Stay tuned for some exciting and fiery milestones ahead! 🚀🇨🇦 National Defence Defence Research and Development Canada Canadian Space Agency Transport Canada NGen Canada

Canada's first orbital-class rocket engine is now being manufactured! Our patent pending Hadfield-150 engine is the largest and most powerful rocket engine ever built in Canada, and the first known Canadian orbital-class engine to make it to this stage. The Hadfield-150 builds on everything we learned after years of painstakingly designing, manufacturing, and testing the Hadfield-10 series, our first regeneratively cooled and additively manufactured liquid rocket engine. Every engine test, both successful and unsuccessful on our Darkhorse test stand at Area 66, retired risk that's now carried straight into Hadfield-150 and sovereign orbital launch for Canada. A few details about the Hadfield-150 engine series: ✅ Designed to power Tundra and Tundra+, our light and medium-lift launch vehicles, and built to scale to Tempest, our larger reusable medium lift vehicle ✅ Manufactured entirely in-house, from design to print to test, for true sovereign launch capability ✅ Produced at Rocket Factory 1, on our expanding fleet of metal additive manufacturing systems at the AMA Lab, including the largest known metal 3D printer in Canada ✅ Designed for reusability and medium-lift scale from the outset, and built to significantly cut the time, infrastructure, manufacturing and cost iterative engine testing usually requires, with room to scale to even larger engines by leveraging the same design ✅ Capable of engine-out functionality, so losing one on an early flight doesn't have to mean losing the mission ✅ Optimized for Canada's Launch the North initiative, to deliver sovereign operational capability in a time and cost efficient manner Initial testing starts later this year at our new Blackhawk orbital engine test cell at Area 66, our private test range in Ontario. Stacked, integrated vehicle testing comes later at the Atlantic Spaceport Complex, our spaceport in Newfoundland and Labrador. Stay tuned for some exciting and fiery milestones ahead! 🚀🇨🇦 National Defence Defence Research and Development Canada Canadian Space Agency Transport Canada NGen Canada

NordSpace 🇨🇦

27,544 views • 1 month ago

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 views • 6 months ago

How to Create a Professional Data Analysis Report—Even If You’re Not a Data Specialist Today on Agent 101—MuleRun’s first review series where real users test AI agents in real work scenarios—we introduce “Smart Q,” a data analysis expert agent designed to turn anyone into a data-savvy reporter. 1. Team Expertise Smart Q was developed by a team with over 10 years of data analysis experience at a giant corporation. This background ensures that the agent delivers insights and reports that meet professional standards. 2. The Traditional Approach & Its Pain Points Traditionally, creating a data analysis report required deep expertise in tools like Excel, SQL, or Python. You’d need to clean the data, run calculations, generate visualizations, and summarize findings—all of which is time-consuming and prone to human error. For non-specialists, this process is often inaccessible and intimidating. 3. How Smart Q Uses AI—and What Problems It Solves With Smart Q, the entire reporting process is simplified into three steps: upload your raw data, ask a question, and receive charts, key insights, and a polished report—all generated by AI expert. Its key advantages include: ✅Accessibility:No technical background required. ✅Speed:Get a complete analysis in minutes, not hours. ✅Clarity:Receive expert-level conclusions presented in clear, actionable language. Want to become a tester for future AI agents? Engage with this video—comment, like, or share—and we’ll be sure to notice your support! 🎥 See Smart Q in action. #mulerun #mulerun4U #SmartQ

How to Create a Professional Data Analysis Report—Even If You’re Not a Data Specialist Today on Agent 101—MuleRun’s first review series where real users test AI agents in real work scenarios—we introduce “Smart Q,” a data analysis expert agent designed to turn anyone into a data-savvy reporter. 1. Team Expertise Smart Q was developed by a team with over 10 years of data analysis experience at a giant corporation. This background ensures that the agent delivers insights and reports that meet professional standards. 2. The Traditional Approach & Its Pain Points Traditionally, creating a data analysis report required deep expertise in tools like Excel, SQL, or Python. You’d need to clean the data, run calculations, generate visualizations, and summarize findings—all of which is time-consuming and prone to human error. For non-specialists, this process is often inaccessible and intimidating. 3. How Smart Q Uses AI—and What Problems It Solves With Smart Q, the entire reporting process is simplified into three steps: upload your raw data, ask a question, and receive charts, key insights, and a polished report—all generated by AI expert. Its key advantages include: ✅Accessibility:No technical background required. ✅Speed:Get a complete analysis in minutes, not hours. ✅Clarity:Receive expert-level conclusions presented in clear, actionable language. Want to become a tester for future AI agents? Engage with this video—comment, like, or share—and we’ll be sure to notice your support! 🎥 See Smart Q in action. #mulerun #mulerun4U #SmartQ

MuleRun

30,549 views • 9 months ago

🤩 Here is the real Show-off Card in the true sense – Amex Platinum Charge Card! Woah! What an unboxing experience 🤯✨ A real working high-quality LED video screen with sound, memory storage and switches built right into the card box itself! 🥳🎥🔊 And the best part? You can upload your own videos and photos on this LED video player. Got all this even before activating the card and without committing a single rupee towards the joining fee (joining fee is charged only if the card is activated). btw I activated it.. And here is what you get after activating 👇👇 🎁 Welcome Benefits ✅ ₹60,000 worth of The Postcard Hotel vouchers OR ✅ ₹50,000 worth of Taj Experiences Gift Cards (usable for stays, dining, spa, beverages etc. at Taj properties) 🎯 Referral Offer (Till 30th June 2026) ✅ 25,000 Amex Points as referral bonus 👉 My Referral Link: 🏨 Premium Hotel Memberships & Elite Statuses ✅ Accor Explorer Membership ✅ Taj Epicure Plus Membership ✅ Marriott Bonvoy Gold Elite Status (for both self and one add-on card member) ✅ Hilton Honors Gold Status (for both self and one add-on card member) ✅ Radisson Rewards Premium Status (for both self and one add-on card member) ✅ Hertz Gold Plus Rewards Status (for both self and one add-on card member) ✅ The Postcard Hotels Sunshine Club Platinum Status (for both self and one add-on card member) These memberships can enhance overall travel experience which otherwise cost thousands of rupees if you pay on your own for hotel upgrades, discounts etc. 🏨✨ 🍽️ Lifestyle Benefits ✅ EazyDiner Prime Membership ✅ Ace by Times Prime Membership Includes complimentary subscriptions of: • Amazon Prime • JioHotstar • Sony LIV • Discovery+ • Lionsgate Play • Uber One • And more 🎬 Entertainment Benefits ✅ Buy One Get One Free Movie Ticket on PVR (up to ₹500 per free ticket) ✅ Complimentary PVR Food & Beverage Voucher every month ✈️ Premium Airport Lounge Access Unlimited access for Primary + One Add-on Card holder ✅ The Centurion® Lounge ✅ Priority Pass™ Lounges ✅ Delta Sky Club® Lounges (when flying Delta) ✅ Escape Lounges ✅ Domestic Partner Lounges in India 👨‍👩‍👧 Family Benefits ✅ One complimentary guest access at Centurion Lounges ✅ Complimentary access for children below 12 years at Centurion Lounges when accompanied by the primary cardholder ✅ Complimentary Platinum Charge Add-on Card for one family member ⛳ Golf Benefits ✅ Complimentary Golf Games ✅ Complimentary Golf Lessons (For both primary and one add-on card member) 🏨 Luxury Hotel Programs ✅ Fine Hotels + Resorts (FHR) Benefits • Complimentary breakfast • Room upgrades (subject to availability) • Early check-in / late checkout • Property credits at select hotels ✅ The Hotel Collection Benefits • Hotel credits • Room upgrades at participating hotels 🎩 Premium Services ✅ Concierge Services ✅ Global Travel Assistance ✅ Emergency Card Replacement Support ✨ And many other premium travel and lifestyle benefits. 💰 Joining Fee: ₹77,880 (including GST) My Take 👇 This card is a premium lifestyle card and definitely NOT for everyone. I took it only for the first year because of the heavily loaded welcome benefits, referral bonus points, elite hotel memberships and premium travel privileges, many of which are quite useful for my upcoming travel plans. ✈️🌍 The premium lounge programs are a nice add-on, but for me the real value lies in: 🏨 Hotel memberships 🎁 Welcome benefits ✈️ Travel privileges 🎯 Referral bonus points Looking at the overall value proposition, my effective first-year cost is negligible for my use case. Will I renew it next year? Most probably not, unless they provide a great renewal offer😄 But as a one-time experience, the unboxing, welcome gifts, premium memberships and overall treatment make it a true Platinum experience. 🤩 #creditcard #spendwisely #creditcard

🤩 Here is the real Show-off Card in the true sense – Amex Platinum Charge Card! Woah! What an unboxing experience 🤯✨ A real working high-quality LED video screen with sound, memory storage and switches built right into the card box itself! 🥳🎥🔊 And the best part? You can upload your own videos and photos on this LED video player. Got all this even before activating the card and without committing a single rupee towards the joining fee (joining fee is charged only if the card is activated). btw I activated it.. And here is what you get after activating 👇👇 🎁 Welcome Benefits ✅ ₹60,000 worth of The Postcard Hotel vouchers OR ✅ ₹50,000 worth of Taj Experiences Gift Cards (usable for stays, dining, spa, beverages etc. at Taj properties) 🎯 Referral Offer (Till 30th June 2026) ✅ 25,000 Amex Points as referral bonus 👉 My Referral Link: 🏨 Premium Hotel Memberships & Elite Statuses ✅ Accor Explorer Membership ✅ Taj Epicure Plus Membership ✅ Marriott Bonvoy Gold Elite Status (for both self and one add-on card member) ✅ Hilton Honors Gold Status (for both self and one add-on card member) ✅ Radisson Rewards Premium Status (for both self and one add-on card member) ✅ Hertz Gold Plus Rewards Status (for both self and one add-on card member) ✅ The Postcard Hotels Sunshine Club Platinum Status (for both self and one add-on card member) These memberships can enhance overall travel experience which otherwise cost thousands of rupees if you pay on your own for hotel upgrades, discounts etc. 🏨✨ 🍽️ Lifestyle Benefits ✅ EazyDiner Prime Membership ✅ Ace by Times Prime Membership Includes complimentary subscriptions of: • Amazon Prime • JioHotstar • Sony LIV • Discovery+ • Lionsgate Play • Uber One • And more 🎬 Entertainment Benefits ✅ Buy One Get One Free Movie Ticket on PVR (up to ₹500 per free ticket) ✅ Complimentary PVR Food & Beverage Voucher every month ✈️ Premium Airport Lounge Access Unlimited access for Primary + One Add-on Card holder ✅ The Centurion® Lounge ✅ Priority Pass™ Lounges ✅ Delta Sky Club® Lounges (when flying Delta) ✅ Escape Lounges ✅ Domestic Partner Lounges in India 👨‍👩‍👧 Family Benefits ✅ One complimentary guest access at Centurion Lounges ✅ Complimentary access for children below 12 years at Centurion Lounges when accompanied by the primary cardholder ✅ Complimentary Platinum Charge Add-on Card for one family member ⛳ Golf Benefits ✅ Complimentary Golf Games ✅ Complimentary Golf Lessons (For both primary and one add-on card member) 🏨 Luxury Hotel Programs ✅ Fine Hotels + Resorts (FHR) Benefits • Complimentary breakfast • Room upgrades (subject to availability) • Early check-in / late checkout • Property credits at select hotels ✅ The Hotel Collection Benefits • Hotel credits • Room upgrades at participating hotels 🎩 Premium Services ✅ Concierge Services ✅ Global Travel Assistance ✅ Emergency Card Replacement Support ✨ And many other premium travel and lifestyle benefits. 💰 Joining Fee: ₹77,880 (including GST) My Take 👇 This card is a premium lifestyle card and definitely NOT for everyone. I took it only for the first year because of the heavily loaded welcome benefits, referral bonus points, elite hotel memberships and premium travel privileges, many of which are quite useful for my upcoming travel plans. ✈️🌍 The premium lounge programs are a nice add-on, but for me the real value lies in: 🏨 Hotel memberships 🎁 Welcome benefits ✈️ Travel privileges 🎯 Referral bonus points Looking at the overall value proposition, my effective first-year cost is negligible for my use case. Will I renew it next year? Most probably not, unless they provide a great renewal offer😄 But as a one-time experience, the unboxing, welcome gifts, premium memberships and overall treatment make it a true Platinum experience. 🤩 #creditcard #spendwisely #creditcard

SpendWisely

23,557 views • 1 month ago

The video shows the trials of the VT-1-1, a turretless tank with 2 x 105 mm guns, firing on the move at the Putlos training ground in 1976. The casemate (turretless) tank, designed for combat while moving, was introduced in Germany in the mid-1970s as a twin-gun casemate tank (the Soviet term for a "turretless tank"). For practical firing tests in the "target pass" mode, two prototypes were built in the mid-1970s. The first prototype, VT 1-1, was armed with two 105 mm guns, while the second, VT 1-2, was equipped with two 120 mm smoothbore guns. Additionally, the VT 1-2 featured a functioning autoloader behind one of the guns, with a firing rate of 10 rounds per minute. The vehicles were developed as part of the KPz 3 or Leopard 3 project. In both prototypes, the main guns were semi-fixed (with aiming and stabilization only in elevation). The chassis solutions were derived from the KPz 70 (MBT 70) program, with the running gear shortened by one road wheel (five road wheels per side). The vehicles weighed 36.8 and 43.5 tons, respectively, with a chassis rotation speed of 60 degrees per second. To achieve high maneuverability on rough terrain, 12-cylinder diesel engines from the MB 873 series with enhanced power were used, equipped with four turbochargers: 2000 hp for VT 1-1 and 2200 hp for VT 1-2. This provided an impressive power-to-weight ratio of 54 and 50 hp/ton, respectively, with acceleration to 55 km/h in 11 seconds, though only in a temporary "turbo" mode, as the standard power was 1600 hp. The accuracy of firing with two guns was unmatched by single-gun tanks, as confirmed by the tests. However, due to the novel combat approach, this revolutionary tank concept was rejected by the customer after trials in favor of the conventionally designed Leopard 2. In essence, although the project was developed as the Leopard 3, a tank for the future, it was, in reality, a parallel project and a potential competitor to the Leopard 2. Achieving the firepower, protection, and mobility of the Leopard 3 within reasonable weight limits was impossible with a conventional layout. At the same time, a significant tactical drawback of the casemate concept (including twin-gun casemate vehicles) is the linkage between the direction of fire and the direction of movement, which in many cases could complicate unit and formation control (according to German experts in the 1970s). Moreover, the VT 1-1 and VT 1-2 can hardly be considered balanced vehicles—they could have been simpler. The vehicles' mobility was exaggerated, with the main engine, transmission, auxiliary engine, batteries, and other systems occupying two-thirds of the vehicle's length. Pros and Cons of VT 1-1 and VT 1-2: Considering the key challenges, the twin-gun casemate concept can be evaluated as follows: Pros: Compact design due to a small internal volume. Two guns provide high firepower and hit probability. Cons: The weight advantage of the casemate design is largely offset by the integration of a second gun. Fire control alone results in high complexity, leading to increased maintenance costs and overall expenses. In 1975/76, five Gefechtsfeldversuchträger (GVT, combat test platforms) were developed and built for further mobility and concept trials. These were smaller than the VT 1-1 and VT 1-2, weighing 30 tons. The GVT 01-05 were equipped only with mock-up guns and laser firing simulators (TALLISSI) and telemetry systems, built using chassis components from the Leopard 1. The GVTs were used at the IABG facility in Lichtenau and the tank training school in Munster to test the twin-gun turretless tank concept in realistic exercise conditions, which is why five vehicles were built. However, the Leopard 2 was already in production, and tank crews showed little enthusiasm for this unconventional vehicle requiring a new approach.

The video shows the trials of the VT-1-1, a turretless tank with 2 x 105 mm guns, firing on the move at the Putlos training ground in 1976. The casemate (turretless) tank, designed for combat while moving, was introduced in Germany in the mid-1970s as a twin-gun casemate tank (the Soviet term for a "turretless tank"). For practical firing tests in the "target pass" mode, two prototypes were built in the mid-1970s. The first prototype, VT 1-1, was armed with two 105 mm guns, while the second, VT 1-2, was equipped with two 120 mm smoothbore guns. Additionally, the VT 1-2 featured a functioning autoloader behind one of the guns, with a firing rate of 10 rounds per minute. The vehicles were developed as part of the KPz 3 or Leopard 3 project. In both prototypes, the main guns were semi-fixed (with aiming and stabilization only in elevation). The chassis solutions were derived from the KPz 70 (MBT 70) program, with the running gear shortened by one road wheel (five road wheels per side). The vehicles weighed 36.8 and 43.5 tons, respectively, with a chassis rotation speed of 60 degrees per second. To achieve high maneuverability on rough terrain, 12-cylinder diesel engines from the MB 873 series with enhanced power were used, equipped with four turbochargers: 2000 hp for VT 1-1 and 2200 hp for VT 1-2. This provided an impressive power-to-weight ratio of 54 and 50 hp/ton, respectively, with acceleration to 55 km/h in 11 seconds, though only in a temporary "turbo" mode, as the standard power was 1600 hp. The accuracy of firing with two guns was unmatched by single-gun tanks, as confirmed by the tests. However, due to the novel combat approach, this revolutionary tank concept was rejected by the customer after trials in favor of the conventionally designed Leopard 2. In essence, although the project was developed as the Leopard 3, a tank for the future, it was, in reality, a parallel project and a potential competitor to the Leopard 2. Achieving the firepower, protection, and mobility of the Leopard 3 within reasonable weight limits was impossible with a conventional layout. At the same time, a significant tactical drawback of the casemate concept (including twin-gun casemate vehicles) is the linkage between the direction of fire and the direction of movement, which in many cases could complicate unit and formation control (according to German experts in the 1970s). Moreover, the VT 1-1 and VT 1-2 can hardly be considered balanced vehicles—they could have been simpler. The vehicles' mobility was exaggerated, with the main engine, transmission, auxiliary engine, batteries, and other systems occupying two-thirds of the vehicle's length. Pros and Cons of VT 1-1 and VT 1-2: Considering the key challenges, the twin-gun casemate concept can be evaluated as follows: Pros: Compact design due to a small internal volume. Two guns provide high firepower and hit probability. Cons: The weight advantage of the casemate design is largely offset by the integration of a second gun. Fire control alone results in high complexity, leading to increased maintenance costs and overall expenses. In 1975/76, five Gefechtsfeldversuchträger (GVT, combat test platforms) were developed and built for further mobility and concept trials. These were smaller than the VT 1-1 and VT 1-2, weighing 30 tons. The GVT 01-05 were equipped only with mock-up guns and laser firing simulators (TALLISSI) and telemetry systems, built using chassis components from the Leopard 1. The GVTs were used at the IABG facility in Lichtenau and the tank training school in Munster to test the twin-gun turretless tank concept in realistic exercise conditions, which is why five vehicles were built. However, the Leopard 2 was already in production, and tank crews showed little enthusiasm for this unconventional vehicle requiring a new approach.

Andrei_bt

81,636 views • 1 year ago