Hanging objects on moving hooks — a common task in manufacturing (like coating) — is surprisingly hard for robots. Why? ✅ The line is constantly moving, so the robot must adapt in real time. ✅ Hooks are thin, objects are reflective — making 3D vision unreliable. With SigmaKit, this challenge becomes routine: ⚙️ Our real-time inference lets robots track and adapt to moving hooks. 👁️ Our vision system accurately detects both hooks and reflective objects. Out of hundreds of demos, we’ve never missed a hook. Not once. #robotics #automation #manufacturing #AI #computerVision #SigmaKit
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- First, they entered our labs. - Then, they entered our news feeds. - Now, they’re entering our factories. Figure’s humanoid robot has been quietly working on a BMW Group production line for five months. Honestly, humanoid robots are still far from replacing humans, but with each passing day… that gap is slowly shrinking. If you want to understand what’s happening in the world of humanoids & why everyone’s betting on them, feel free to check out my post where I dived into this particular matter: https://lnkd.in/eQmtd3Kw
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⏱️ Every second counts on the line. Picture this: a high-volume assembly line where a robot pauses mid-cycle, slowly scanning for a part. Every second of delay ripples through production. You’ve invested millions in automation, but you still lose time to searching, aligning, and hoping the robot gets it right. What if your robots could skip the guesswork and think for themselves? That’s exactly what we’re building at Inbolt. Our AI-powered 3D vision system mounts directly on the robot’s gripper, instantly locating and orienting parts with human-like understanding. No scanning, no waiting. When Stellantis deployed this at their Detroit Assembly Complex, they saw: ⚡ 30% faster cycle times 🎯 10x better repeatability 💸 ROI in months It’s not just automation anymore. It’s intelligent automation. ❓ If your robots could think, what process would you transform first? #SmartManufacturing #Robotics #IntelligentAutomation #3DVision #ArtificialIntelligence #Industry40 #Inbolt #AI
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🐾 The Mechanical Dog in Motion It barks, walks forward, reverses, and turns — demonstrating how precision and flexibility come together in every movement. Built with the AI Module 3S, powered by the 102 Controller, and equipped with a dual dot-matrix display, this mechanical dog combines intelligent control, expressive interaction, and stable motion in one compact design. 📽️ Watch the video and see how the AI Module 3S brings technology — and personality — to life. #WhalesBot #Robotics #AI #InnovationInLearning
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How Robots Optimize Their Memories 🤯 (Factor Graphs + TagSLAM) How do robots really know where they are — not just guess? In this video, we dive deep into the world of Factor Graphs, tagSLAM, and the PennCOSYVIO dataset, exploring how real-world SLAM systems are built, tested, and refined. Latest video on Embodied Intelligence: https://lnkd.in/eTi_54eG A topic very near and dear to my heart! All the learnings from Kostas Daniilidis and Bernd Pfrommer are in this video! We’ll cover: ✅ Bayesian Optimization for Non-linear Least Squares ✅ Factor Graphs and how they are general compared to Bayesian Optimization ✅ What factor graphs are and how they represent relationships between measurements, poses, and landmarks ✅ How optimization over these graphs refines both the map and robot motion over time ✅ Using trajectory evaluation tools (ATE, RPE) to compare estimated vs ground truth motion and measure SLAM performance ✅ The story behind the PennCOSYVIO dataset — how it was captured at the University of Pennsylvania using fiducial tags and multiple cameras ✅ How tagSLAM fuses visual data using factor graphs to estimate accurate trajectories This video is a case study in how research datasets are created and used — from experimental setup and calibration to multi-sensor fusion and optimization. You’ll see how factor graphs power real SLAM pipelines, turning noisy data into precise, robust localization. Whether you're new to robotics or an AI enthusiast, this video will give you a clear and fun introduction to the world of robots! 🔔 Subscribe for demystifying and deeper dives into perception, computer vision, AI, and robotics! 👍 Like this video if you enjoy learning about intelligent machines! 📩 Have questions? Drop them in the comments! #robotics #ai #computervision #automation #WhatIsARobot #technology #innovation #sensing #autonomy #artificialintelligence #embodiedintelligence #robot #robotics #computervision #SLAM #PennCOSYVIO #factorgraphs #tagSLAM #visualinertialodometry #trajectoryevaluation #perception #ai #robotvision #mapping #optimization #embodiedintelligence #artificialintelligence #visualSLAM #researchcase
How Robots Optimize Their Memories 🤯 (Factor Graphs + TagSLAM)
https://www.youtube.com/
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Can depalletizing be faster and more accurate? Transfer Technology's intelligent 3D vision depalletizing system gives the answer. With high-precision scanning and real-time robot guidance, it achieves: ✔️ 99.9% recognition accuracy ✔️ ±1 mm precision ✔️ ≤ 6 s per pick ✔️ 24/7 stable operation Explore your tailored solutions for smarter, more efficient automation👉marketing@qianyi.ai #Depalletizing #MachineVision #3DVision #IndustrialAutomation #Robotics #RobotAutomation #SmartTech #FutureTech #Innovation #Technology #Efficiency #AI #Transfer3D
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This time, it’s Pick and Place! Across manufacturing, logistics, and service industries, one of the most fundamental capabilities expected from humanoid robots is the ability to grasp diverse objects and actively place them where needed. In this new demo, RLWRLD’s RLDX demonstrates how it precisely controls the 15-DOF Allex Hand to pick up and position a variety of objects — from paper boxes and plush toys to slippery and irregularly shaped items. You’ll even see some delightful touches — adjusting the pose of a Pensive Bodhisattva statue, giving a high-five to a Maneki-neko, and finishing with a joyful little celebration. #RLWRLD #RLDX #PhysicalAI #Robotics #Humanoid #AI #Dexterity
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AI and Robots just make sense in this scenario Working 3rd shift is just NOT healthy, yet someone has to do it... how can we eliminate the negative health effects of 3rd shift work?
Should AI Robots replace nightshift workers? What do you think?
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🚀 From stacking cages to various pallet types, the SEER Robotics' counterbalanced smart forklift uses AI deep learning for adaptive identification and handling. 🤖 It features wide-range fork adjustment, real-time ultrasonic safety detection, and robust laser SLAM navigation to master complex, high-dynamic environments—guaranteeing efficiency, stability, and safety in every stacking task. #SmartForklift #Intralogistics #WarehouseAutomation #AI #MaterialHandling #Robotics #SupplyChain #LogisticsTech #SmartFactory #Industry40 #Automation #PalletStacking #LaserSLAM
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🤖 Introducing Figure 03 — the next leap in humanoid robotics. F.03 isn’t just another prototype — it’s designed for Helix, for the home, and for the world at scale. Fully autonomous. Seamlessly adaptive. Built to learn and move with human-like precision. And here’s the wild part… 👉 Nothing in this film is teleoperated. We’re witnessing the future of robotics unfold — machines that can understand, act, and evolve on their own. At Verixity, we may not build robots (yet 😉), but we do build digital systems that move just as intelligently — websites and AI-driven solutions that think, learn, and adapt to make your business stand out. #AI #Robotics #Innovation #Figure03 #FutureTech #Automation #ArtificialIntelligence #Verixity #DigitalTransformation #TechRevolution
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Professeur titulaire et directeur du CeRVIM à l'Université Laval
2wVery impressive!