Mushroom picking robots! 🍄‍🟫 A Canadian ag-tech startup, Mycionics,...

Uploaded: 2025-07-24T12:55:51.000Z
Duration: PT21.014S
Channel: Lukas Ziegler

1:36

🇨🇦 ROBOT HANDS JUST LEVELED UP IN CANADA Sanctuary AI showed off a robotic hand that uses hydraulic power to grip, twist, and move like a real one. The hand can handle delicate objects, like dice, without crushing them, proving robots are getting scary precise. Hydraulic actuation gives the robot smoother, stronger control, making it better for heavy industrial work and tricky small tasks. This could change how robots work in factories, warehouses, or even in jobs too dangerous for humans. The future of robot hands? Less clunky claws, more human-like grip power with machine muscle. Source: Wevolver

Mario Nawfal

50,661 views • 10 months ago

0:53

Robots still fail at the simplest job: picking stuff up. 🫴🏼 Robots are good at repetition, but most still fail at grasping varied objects. In warehouses and grocery fulfillment, that’s the bottleneck: items aren’t uniform, and rigid grippers break or drop them. Nexera-Robotics built NeuraGrasp to address this. The system combines a compliant surface that mimics human fingertips with an AI controller that adjusts grip in real time. It doesn’t need reprogramming for each SKU and can handle fragile, irregular items as well as standard packages. This matters because if grasping is solved, robots stop being limited to narrow workflows. They can finally automate the “last meter” of logistics and retail, where most of the labor costs remain today. It's oddly satisfying to see a gripper that can pick up (almost) anything! 🫶🏼

Lukas Ziegler

24,055 views • 11 months ago

3:09

Warehousing industry is revolutionized, largely driven by advances in robotics and automation technologies. 🤖 Here are five key robotic technologies revolutionizing warehousing: ✔Autonomous Mobile Robots (AMRs): These robots navigate warehouses autonomously, performing tasks like transporting goods, which greatly enhances efficiency and safety. 👉All these robots use Object/Image Detection for Inventory Management, learn more about it here: by SingleStore ✔Robotic Lift Trucks: An advancement over traditional forklifts, these robotic trucks perform material handling tasks with precision and reduce the risk of accidents associated with manual operations. ✔RFID Tagging: RFID technology allows for the accurate tracking, locating, and management of goods within the warehouse, streamlining inventory management and reducing errors. ✔Warehouse Drones: Drones are emerging as a cutting-edge technology for inventory management, picking, packing, and even last-mile deliveries, enhancing efficiency and reducing labor costs. ✔Warehouse Management Software (WMS): Advanced WMS systems utilize artificial intelligence and machine learning to provide real-time visibility into inventory levels and supply chain operations, optimizing warehouse operations. video: Interesting Engineering

Steve Nouri

50,062 views • 2 years ago

1:24

A Few Thoughts on Robotics The criticism that robotics can only be used in a rather one-sided way is, at the same time, the solution to the problem. What do I mean by that? Since the Industrial Revolution, humanity has increasingly made production methods more efficient. Fordism introduced assembly line work, but this comes at the expense of monotonous, repetitive tasks. On the one hand, immense wealth has been created; on the other hand, countless people suffer from repetitive tasks, which are a direct consequence of that industrial revolution and the division of labor- in other words, assembly line work. The debate about whether AI and robotics could impact the labor market is answered in different ways. I have a clear opinion on this: Up to now, technology has merely been an augmentation, an improvement of human labor to make it more effective. Robotics and AI, however, represent a qualitative break with this situation. For the first time in human history, it won't be humans who become more efficient, but rather replaceable, insofar as human augmentation becomes less efficient than replacing human labor with robotics. In just a few years, a human using technology will simply be less efficient than a robot that doesn't know an eight-hour day, weekends, or holidays, but can perform monotonous tasks 24/7 on an assembly line without breaking down due to physical ailments or needing medical attention. Wear and tear simply means replacing specific parts of the robot. To return to the initial question: production doesn't require general-purpose robots capable of performing a wide variety of tasks, but rather specialized robots that excel at the specific tasks for which they are needed. Figure02 vividly illustrates why this is only now possible: even the simplest assembly line work still requires delicate manual dexterity because the production line is designed for human hands. This breakthrough has now arrived, but AGI (Automated Generating Intelligence) isn't necessary for robots to be used in production processes. It's sufficient that they can perform monotonous tasks. And that's why I believe 2026 will be the year of the robots. (Clip: Figure02 in production chain at BMW Car-production)

Chubby♨️

15,228 views • 7 months ago

1:06

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

Owen Gregorian

179,005 views • 9 months ago

0:42

NEO robot achieves “almost human-like” hand dexterity The Norwegian-American startup 1X has demonstrated new capabilities of its humanoid robot NEO — it has learned to perform fine motor tasks at a level close to humans. The robot can assemble Lego, eat chips, play video games, screw in a light bulb, pick a grape, and carefully hold a wine glass. Previously, one of the biggest challenges for robots was handling small objects — they struggled to understand how much force was needed to grip them. NEO solves this problem with cable-driven actuators and a force-control system: each joint moves the finger while simultaneously measuring pressure. The developers believe these technologies could become an important step toward the creation of universal home robots.

NEXTA

45,406 views • 3 days ago

0:50

The robot is learning several novel tasks instantly, after just ONE demonstration each... Instant Policy makes it possible: no extra training, no weight updates, just pure in-context learning. It just got accepted at ICLR 2025, and it’s changing how robots learn. With just a single demo, a robot can pick up a new task and start performing it right away. Why this is a big deal: ✅ Learns tasks instantly with just one or a few demonstrations ✅ Improves over time as more demonstrations are given ✅ Uses simulation-based training with “pseudo-demonstrations” for scalability ✅ Can transfer skills across different robots and even follow language-defined tasks It brings in-context learning to robotics, opening up new possibilities for flexible, real-world automation. You can try it yourself: code and weights are available at • • • • Thank you to Edward Johns, Director of the Robot Learning Lab at Imperial College for sharing their work! 🙏

Ilir Aliu

46,285 views • 1 year ago

1:07

500 humanoid robots replacing humans in high-voltage operations What does that look like? Steel against steel,instead of flesh and blood. This marks a turning point for China’s State Grid, shifting from human-based maintenance to autonomous operations. This year, State Grid announced plans to procure 8,500 embodied AI robots, with a total budget of RMB 6.8 billion (~$1 billion). These robots will be deployed across four major scenarios: power inspection, live-line operations, emergency response, and warehouse logistics,covering more than 600 specific task scenarios. Among them, humanoid robots for live-line operations are the most expensive and strategically critical: 500 units with a budget of RMB 2.5 billion (~$370 million). They will be deployed in distribution network live-line work and ultra-high-voltage (UHV) projects, replacing humans in high-risk tasks. Workers will transition into supervisory roles, ready to take over remotely when needed. As early as last year, State Grid had already validated the feasibility of humanoid robots for substation inspection. Tienkung can autonomously perform inspection tasks at a State Grid substation in Beijing. Of course, suppliers are not limited to X-Humanoid,players like Unitree, AGIBOT, DeepRobotics, UBTECH, and Fourier are all involved. These 500 humanoid robots will also collaborate with 5,000 inspection quadruped robots and 3,000 dual-arm wheeled robots for indoor substation maintenance,together forming an intelligent, automated, and collaborative network for autonomous grid operations. What does this change? According to State Grid, each embodied AI unit can save RMB 500,000 to 800,000 (~$70,000–$110,000) in annual labor costs, with a payback period of around 2–3 years. Inspection efficiency increases by 5x, fault response time is reduced by 60%, and power supply reliability improves by 0.5 percentage points. More importantly, over 90% of human exposure to high-risk operations can be eliminated, reducing safety incidents by 80%. At another level, for humanoid robot companies, the center of R&D and iteration is shifting to the customer site. Real-world physical interaction becomes the fastest feedback loop,accelerating innovation and evolution. And 8,500 units are just the beginning of scaled deployment. Based on current plans, embodied AI robots will cover 30% of key areas in State Grid by 2026, 80% of high-risk operation scenarios by 2027, and enable fully autonomous operations by 2030. The demand roadmap is clear: define use cases ->deploy at scale->improve models and robots->expand further. 8,500… 50,000… 100,000… But remember,power grids are just one part of China’s vast infrastructure system. The experience of autonomous robotic operations here can be replicated across other sectors, such as broader energy systems. That, in itself, is another story. P.S.The video shows Tienkung 1.0 autonomously performing substation inspection tasks (2025).

CyberRobo

46,782 views • 2 months ago

1:03

🚨BREAKING: A new humanoid robot straight out of Europe! Kinisi has introduced their humanoid robot called KR1. This robot has a base with wheels instead of legs. This provides much greater stability and safety for human workers. It’s built for warehouse and factory tasks like picking, stacking, and moving goods. It supports payloads up to 15 kg, runs 8 hours per charge with hot-swappable batteries, and docks itself for recharging. The robot can lift heavy boxes from high shelves, handle fragile items without damage, and adapt its arm trajectories on the fly to avoid obstacles. In demos, it moved smoothly between shelves, placed items into totes, and transported them across the warehouse, all autonomously. Great retrofitting potential, because it doesn’t require major infrastructure changes to deploy. It learns from simple demonstrations, operates offline for reliability and privacy, and integrates quickly into existing workflows. Let’s not forget that E-commerce is growing rapidly, with global online sales expected to reach nearly $7 trillion by 2025. As more people shop online, the number of packages being shipped each day is soaring. These robots help us to make sure they will be delivered on time! 📦

Lukas Ziegler

23,262 views • 9 months ago

0:45

🇺🇸 TRUMP & LUTNICK EYE HUMANOID ROBOTICS REVOLUTION IN 2026: “AI THAT WALKS AND WORKS” Trump and Secretary of Commerce Howard Lutnick are now turning their attention to the next seismic shift in tech: humanoid robotics, with a targeted push beginning in 2026. The move is part of a broader strategy to supercharge American AI leadership, but not just in software. The focus is shifting to physical, labor-replacing machines: humanoid robots that can think, move, and work in real-world environments. Think less ChatGPT, more “steel spine and servers flipping burgers, or building cars.” Why does it matter though? The U.S. is now staring down a future where whoever builds the best humanoid labor force wins the next economy, and we know China’s not waiting. Trump and Lutnick’s entrance into this space signals something serious: this isn’t just a Silicon Valley playground anymore. This is becoming a national priority. For a country dealing with a shrinking workforce, soaring labor costs, and foreign competitors pumping billions into robotics. It’s time to start taking humanoid robots more seriously and build them already. 2026 could be the year the Made in America label gets printed by robots. Source: Disclose.tv / Politico / AOL News

Mario Nawfal

64,898 views • 7 months ago

1:19

Demystifying China's Dancing Robots: How Did They Catch Handkerchiefs?🇨🇳🤖 16 humanoid robots from Chinese robotics company, Unitree, took center stage at the annual #SpringFestivalGala. The robots seamlessly coordinated with 16 human dancers to perform a traditional Yangko dance, a vibrant folk art form from northeast China, blending cultural heritage with cutting-edge technology. One of the most captivating moments came when the robots showcased their ability to manipulate handkerchiefs, a signature element of Yangko dance. With precise mechanical arm movements, the robots sent the handkerchiefs twirling and soaring through the air, creating a dazzling visual spectacle that symbolized the perfect fusion of tradition and modernity. To maintain the stable upright standing position is already a challenge for current humanoid robots – consider the shaky steps and tendency to roll off even a small incline of Elon Musk's Optimus. To toss a handkerchief and catch it back in place requires the integration of sensors, algorithm and smart design. "We've designed a very clever mechanism that integrates multiple AI control algorithms. There are two motors at the end of the robotic arm: one maintains a high-speed spinning motion, while the other ensures that the handkerchief can be thrown out and then retracted," Unitree's marketing representative said. The 16 humanoid robots belong to Unitree's H1 series, nicknamed Fuxi. Standing at 1.8 meters tall and weighing 47 kilograms, the robots took the stage at the Spring Festival Gala stage over a year after debuting in August 2023. They also attended the NVIDIA GTC conference in 2024. #ChineseNewYear #DeepSeek (Link:

Li Jingjing 李菁菁

11,169 views • 1 year ago

1:14

Six months ago, we introduced Today, we launch it 🎉 Over the past few years, we’ve quietly scaled from 300K to 1.7 million+ robotic tasks. 500+ real robots. Doing real work every day — delivering, moving, inspecting, and more. Here's the lineup: 1. R-Dog ™ — Digital Out-of-Home Advertising (New) A robotic dog with dual high-resolution screens, bringing motion and interactivity to advertising. And a moving tail :) 2. R-Noid ™ — Humanoids (New) We built ours differently. Assisting in kitchens and handling repetitive work. (Not just to impress). 3. R-Kiwi ™ — Last-Mile Delivery Delivers meals across campuses. Designed for outdoor autonomy and social acceptance. 4. R-Cargo ™ — Warehouse & Logistics Moves materials across factories and warehouses. Built for precision and indoor/outdoor reliability. Our advantage isn’t just technology. It’s trust. Because in physical AI, social trust isn’t nice-to-have; it’s the moat. It’s how robotics stops feeling foreign and starts feeling familiar. We’re here to lead by building what can be deployed and scaled now. We’re here to show that robots can be accepted — even loved — by design.

Felipe | Robot.com

987,302 views • 8 months ago

1:12

🚨 BREAKING: Big news in the computer vision world! 🎥 Luxonis | Robotic Vision just dropped its new OAK 4 line, and it’s a big upgrade for edge computer vision. Instead of being “just a stereo camera,” OAK 4 is a fully standalone vision computer with 52 TOPS of on-device AI. Models run locally, depth is computed locally, and no external PC or cloud pipeline is required. This is why robotics teams love it: lower latency, lower cost, fewer failure points in the field. The hardware is built for the real-world. IP67, shock-resistant, wide-FOV RGB + stereo pair, IR projection, IMU, audio, and a patent-pending calibration system that keeps depth accurate even when conditions change. But the real move is the platform. With Luxonis Hub, you can deploy models, grab telemetry, push OTA updates, or collect data when performance drifts, all from a unified interface. It turns a single device into an end-to-end edge CV system. Most customers today in robotics are groups who just want something that works: AMRs, bin-picking systems, trailer-loading robots, and ag-tech. 🤖 And they all say the same thing, the appeal isn’t raw TOPS, it’s the all-in-one simplicity that lets them scale without building custom infrastructure. Feels like the direction edge vision has been waiting for: rugged hardware + high-throughput on-device compute + a real management layer. A next step toward “plug-and-deploy” perception for robots. 🔗 Find out more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

41,955 views • 7 months ago

0:34

🚨 BREAKING: Microsoft's first robotics foundation model! 🤯 Microsoft just announced Rho-alpha (ρα), their first robotics model derived from the Phi series of vision-language models. Rho-alpha translates natural language commands into control signals for robotic systems performing bimanual manipulation tasks. Commands like "push the green button with the right gripper," "pull out the red wire," "flip the top switch on," or "turn the knob to position 5" get executed directly by dual-arm robots. What makes this different from standard vision-language-action (VLA) models is the additional modalities. Rho-alpha is a VLA+ model that adds tactile sensing to the perceptual mix, with plans to incorporate force feedback. On the learning side, the model is designed to continually improve during deployment by learning from human feedback. The training approach combines trajectories from physical demonstrations and simulated tasks with web-scale visual question answering data. Since teleoperation data is scarce and expensive, Microsoft is using NVIDIA Isaac Sim on Azure to generate physically accurate synthetic datasets via reinforcement learning. These simulated trajectories get combined with commercial and open physical demonstration datasets. The model is currently under evaluation on dual-arm setups and humanoid robots. Microsoft is opening an Early Access Program for organizations interested in evaluating Rho-alpha. Robots that can adapt to dynamic situations and human preferences are more useful in real environments and more trusted by the people operating them. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

60,893 views • 5 months ago

3:18

🇨🇭 BADMINTON-BOT TAKES THE COURT IN SWITZERLAND A Swiss team built a four-legged robot that plays badminton against humans and actually returns shots like it means it. Created with ETH Zurich, this bot uses artificial intelligence to teach itself how to move, see, and hit the shuttlecock with freakish precision. It learns through reinforcement learning which is a fancy way of saying it fails over and over until it figures things out. A special vision system helps it track the birdie while running around like a robot goat with a grudge. It even adjusts its movement to avoid messing up its own view. Researcher, Yuntao Ma: "We believe that this project demonstrates the potential of artificial intelligence to advance legged robots in complex tasks, paving the way for advances in autonomous and intelligent systems, including humanoids. The control algorithm generalizes to other robotic platforms such as humanoids, as well as to other tasks such as search and rescue and home services." Source: Telegrafi Media Source: The Independent On Youtube

Mario Nawfal

76,687 views • 1 year ago

49:11

How will USA compete with China in robotics? stash and his team have a huge answer. Rip out their OS and put an American-made OS into the Chinese robots. Let's be honest. America is not going to catch up to Chinese robotics companies. The Chinese ecosystem is far more advanced than even in San Francisco. I've been visiting as many in the San Francisco ecosystem as I can and they all tell me this is true, with the exception of Tesla. So, the world is about to be flooded with Chinese robots of all types. Do business people anywhere, whether they are in Europe, India, America, or Asia, want to gift all their data to the Chinese? No. Dimensional has the answer, and here I visit with Stash and his team who already have an OS running on a variety of Chinese robotics. And they are building a new kind of OS (I call it a World Model, but it doesn't matter what you call it, we are headed toward an AGI that can make a robot get smarter and smarter over time and do more and more things autonomously over time) and here Stash goes into his work and gives you a very intimate look into one of San Francisco's most interesting robotics startups I've met.

Robert Scoble

156,717 views • 8 months ago

0:39

BBREAKING: A German robotics startup from Stuttgart just gave robots imagination: Production robotics system where robots evaluate the long-term consequences of their actions before executing them in live industrial environments. Until now, every production robot optimised actions locally; reacting to what it sees right now. The problem? Small errors early in a sequence compound over time. A slightly off pick leads to a jam three steps later. A marginal placement leads to a collision five steps after that. Cortex 2.0 from Sereact introduces decision-grounded world models directly into live operations. The system evaluates alternative action sequences, predicts how risk accumulates, and estimates the likelihood of entering unrecoverable states, before the robot commits. The world model is trained exclusively on real-world execution data. No synthetic simulation. No approximate environment models. Learned from how robots actually fail, recover, and succeed in production. Works across form factors, pick-and-place arms, dual-arm systems, and humanoids. One intelligence layer, any robot body. The Stuttgart-based company Sereact raised a €25M Series A led by Creandum last year, backed by Air Street Capital Capital, Point Nine 🇺🇦 and angels including Nico Rosberg. They already run some of the most productive AI-driven robotic systems in live warehouse environments, with customers including Daimler Truck AG and Bol. ... Stuttgart, not San Francisco. 🇩🇪 Kudos to Ralf Gulde and team! Credit:

Ilir Aliu

72,419 views • 4 months ago

1:03

China’s traffic-robot isn’t the point. The point is this: Robots in China are evolving the way smartphones did: quietly, rapidly, and everywhere at once. While the West is still debating “AI ethics” like it’s a philosophy seminar, China is already turning robots into: • street officers • delivery workers • cleaners • inspectors • hospital assistants • public-service infrastructure Not because it’s “cool,” but because the cost, governance, and scale actually make deployment possible. Meanwhile in America, the country that should be using robots in law enforcement, even the idea is taboo. And let’s be honest: A robot wouldn’t shoot someone because of their skin color. A robot wouldn’t choke a man over a broken taillight. A robot wouldn’t fire 30 rounds because it “felt threatened.” A robot doesn’t vote, doesn’t join a party, and doesn’t turn policing into a frontline of political tribalism. For all the Western talk about “AI ethics,” it’s China where robots enter public service, and the US where humans with guns still behave like malfunctioning algorithms. The future won’t belong to the countries that talk the most about technology, but to those that can actually use it to make society safer instead of bloodier. Robots won’t replace humans, they’ll just replace the parts of humanity that should’ve been retired long ago.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

15,065 views • 5 months ago

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