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From "The Force" to Real Force: Gesture control for this tentacle #robot #SquidBot! 🤖🦑 Camera + #ComputerVision = Hand tracking. #3D Tentacle (flexible #TPU) + Fishing line = Realistic movement. 💥🖖 What object should I ask it to grab next? 👇 #Robotics #CES2026 #CES26 #AI

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Fabrizio Bustamante Escudero

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17,042 Aufrufe • vor 6 Monaten •via X (Twitter)

Wissenschaft & Technologie#robot#SquidBot#ComputerVision#3D#TPU#Robotics#CES2026#CES26#AI
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Awesome! This is literally a superhuman hand. 🤖✋ ChangingTek Robotics just dropped a dexterous hand that actually morphs between left and right hand configurations on the fly. It uses cable-driven tech to pull off shapes and reverse bends that human hands can't even dream of doing. The power is real too, with a 50N grip force and 10N at the fingertips while staying precise within 0.1N. It is kind of like a rigid octopus, meaning it is tough enough to crank a wrench or screwdriver but smooth enough to grab a drink. Having this much range of motion in a single hand basically doubles the efficiency of any robotic arm in tight spots. Source: ChangingTek Robotics #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #ChangingTek #DexterousHand #Bionics

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A 40-year-old patent has finally been brought to life. That's the Y-zipper. A 3D-printed three-sided fastener that transitions any object from flexible to rigid and back again. The robotics application is the one that caught my attention. A quadruped robot that adjusts its leg stiffness depending on terrain, switching between rigid and flexible in real time without additional motors or complex mechanical systems. But this goes way beyond robotics. A wrist cast that loosens during the day and stiffens at night. A tent that pops into shape in 90 seconds instead of six minutes. The idea sat in a patent filing for four decades. It took 3D printing to finally make it real. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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A humanoid robot playing a Yamaha drum kit is one of the cleanest ways to test rhythm control in public. Drumming exposes timing, wrist motion, impact force, arm recovery, and coordination between both hands. Even if the routine is pre-programmed or assisted, the useful part is visible: the robot has to strike, reset, and stay in rhythm without turning into random arm movement. Robot musicians may look funny today. They are quietly testing the same control problems needed for household robots, factory arms, and physical AI systems that work around humans. Would you call this entertainment, robotics research, or the early market for robot performers?

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This is so cool! 🤯🤯 I just tested the new Avatar IV lip-syncing model by HeyGen. It now includes hand gesture control, and the results are impressive! This could be a strong solution for creating consistent AI characters with multiple camera angles. I’m excited to use it in my upcoming short films!

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Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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More beautiful robot hands. This one from Sharpa The hand uses what they call a Dynamic Tactile Array, meaning vision and touch work together and their SaTA (Spatially-anchored Tactile Awareness) algorithm. Each fingertip includes a mini camera and 1,000+ tactile pixels, hitting 0.005N pressure sensitivity. With 22 DOF and 6D force sensing, it can do everything from eggs to tools.

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Better data for robot hands! 🤲🏼 Embodied reasoning is the bottleneck now. It’s the data we are missing. Specifically, understanding what the robot's hands are doing throughout a task. Perceptron AI new Egocentric offering tracks both hands through an entire video instead of guessing from sampled frames. That matters because a lot happens between frames. Hand positions shift. Contacts change. The robot adjusts grip. You miss all that if you're sampling. 0.280 semantic end-to-end F1 score on WGO-Bench vs 0.158 from the best pipelines built on Gemini Robotics-ER 1.6. Training a robot to manipulate objects requires understanding every moment of hand-object interaction. If your training data has gaps: missing frames, missed contacts, unclear hand positions, the policy learns from incomplete information. You end up with robots that work in demos but fail in real tasks. Continuous hand tracking gives you the full picture. The policy learns from cleaner, more complete data. That compounds into better real-world performance. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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We might be solving the wrong problem in robotics. That’s what this makes clear. UMI → Universal Manipulation Interface A simple $400 gripper that lets you teach robots by demonstration. You hold it like a tool. Show the task. The robot learns. No teleoperation. No expensive hardware. No robot-specific data. Stanford open-sourced everything → hardware, code, datasets. What stands out to me is the bottleneck. Not algorithms. Data. Teleoperation → ~35 demos/hour UMI → ~111 demos/hour And the data transfers across robots → UR5, Franka, others. The design is surprisingly practical: → GoPro fisheye lens (155° FOV) + mirrors for depth → SLAM + IMU for precise 6DoF tracking → latency matching for dynamic tasks → diffusion policies for multimodal actions Then it scales. Cheng Chi takes this further with Sunday Robotics (with Tony Zhao). A $200 glove → deployed in 500+ homes → ~10 million real-world interactions. Not lab data. Real human behavior. Their robot learns dishes, laundry, espresso → with zero robot-specific data. This is where the shift becomes obvious. From training robots in controlled environments → to learning directly from humans at scale So here’s the real question: Will robotics be unlocked by better models… or by unlocking data? #ArtificialIntelligence #Robotics #AI #Innovation #FutureOfWork

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What better way to kick off the new year than “Everybody” at Sphere with robots? 🤖🎶 The Backstreet Boys’ performance at Sphere was a reminder that when music, immersive tech, and robotics collide, the future feels very present. High energy, iconic sound, and yes… robots stealing the show. That momentum carries straight into hashtag#CES this week, where I’ll be diving deeper into what’s next through interviews on: ✅ Robotics (Cosmos and GR00T Year One) ✅ Smarter AI for Enterprises ✅ Intelligent Product Lifecycle From the stage to the show floor, innovation is setting the rhythm for 2026. Stay tuned as the future of AI, robotics, and intelligent systems takes center stage. #CES2026 #Robotics #AI #Enterprises #ProductLeaders To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉#CXOSpiceNewsletter here or 👉 #CXOSpiceYouTube here

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Robots from China are ready to become your soul companion. 🤖 Today (June 30), Chinese robotics company UBTech officially launched the U1 Series — a full-size ultra-bionic humanoid robot. Equipped with a nurturing emotional AI model, it features soft synthetic skin, incredibly realistic facial features and appearance. I touched its “skin” — it’s soft, glossy, and elastic, but cold to the touch, lacking the warmth of a real human body. How much would you pay to take one home? #UBTech #U1Robot #HumanoidRobot #AICompanion
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Robots from China are ready to become your soul companion. 🤖 Today (June 30), Chinese robotics company UBTech officially launched the U1 Series — a full-size ultra-bionic humanoid robot. Equipped with a nurturing emotional AI model, it features soft synthetic skin, incredibly realistic facial features and appearance. I touched its “skin” — it’s soft, glossy, and elastic, but cold to the touch, lacking the warmth of a real human body. How much would you pay to take one home? #UBTech #U1Robot #HumanoidRobot #AICompanion

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