I am thrilled to share my research on 'AI-Powered Adaptive Robotics for Dynamic Industrial Environments.'" As a Research Scholar, I study how AI-driven adaptive systems can get beyond the inability of traditional industrial robots to function well in unstructured environments. We are investigating solutions that improve real-time flexibility, which will result in safer operations, more efficiency, and less downtime in manufacturing, logistics, and other fields. #Mechatronics #Robotics #AI #AdaptiveRobotics #IndustrialAutomation #Research #Engineering #Innovation

A Vision-Language-Action AI Model applied to Industrial Robotics Instead of building separate models for each robot or task, Sereact has created Cortex, a foundation model that can control different robot types (arms, mobile manipulators, humanoids) and adapt to new environments. What makes Cortex interesting? ✅ One model, many robots: arms, mobile manipulators, humanoids ✅ Day-one value: production-ready in hours, no retraining or per-site code ✅ Edge-case resilience: robust to slips, drops, glare, and clutter ✅ Language as interface: operators can set goals in plain English or German ✅ Fleet learning loop: every deployment makes the model smarter ✅ Already deployed across 100+ industrial systems Cortex is one of the first solution to deploy VLA AI model on industrial robotics applications. Already adopted by big actors of the industry, it opens various possibilities for the future of industrial robotics and automation. 🔗 Check the project page to learn more about Cortex! How do you think VLA and LLM will impact the Industrial Robotics industry? Let's connect and share robotics news 🔽 #Robotics #AI

🤖 Robots Have “Reflexes” Too! When a person touches something hot, thermoreceptors in the skin instantly send a signal to the brain, which then commands the muscles to pull the hand away. That’s a reflex. Robots work in a similar way: temperature sensor → controller → motor. If the value goes above a certain “sensitivity threshold,” the robot reacts right away. Both humans and robots follow the same logic: ➡️ sense → process → act. Technology shows us just how closely biology and robotics are connected 💡

Engineers Create Soft Robots That Can Walk on Water Using HydroSpread. Scientists have invented a tiny, flexible robot that can walk on water just like an insect. Using a method called HydroSpread, these soft robots are built right on the water’s surface instead of on hard surfaces. This makes them super thin and less likely to tear. By gently heating them in the lab, the robots' legs bend and let them paddle or walk, inspired by bugs like water striders. In the future, these robots could help with things like checking water for pollution, taking samples, or exploring places that are too dangerous for people. I've checked this source on The Brighter Side of News. Source - https://lnkd.in/gScvJteH Currently, my main interest is in the field of robotics. I’d like to connect with others who have experience or a passion for robotics so we can share insights and ideas. Let’s explore how we can combine robotics with AI for exciting collaborations and discussions.

SnailBot: The Next-Level Modular Robot Researchers at CUHK Shenzhen have developed SnailBot, a modular, self-reconfiguring robot that can dock continuously in 3D with peers, thanks to a freeform magnetic connection system. Unlike conventional modular robots, SnailBot’s design allows near-unlimited alignment flexibility, improving efficiency and reducing docking failures. Its rocker-bogie suspension gives it impressive obstacle-crossing ability, enabling modules to crawl over one another while maintaining structural stability. Applications demonstrated include single-module tasks and collaborative manipulation. Join our global community, share your expertise, and explore partnership opportunities. 👉 www.ctorobotics.com Stay updated with the latest insights on #Robotics, #AI, #Automation, and #SmartManufacturing. 🚀 👉 https://lnkd.in/drdRjYKJ Let’s connect and continue the conversation on the future of #Robotics, #AI and #Automation! Follow @Onur Sezgin, CTO Robotics,Robomax Robot and Automation Systems, Ara Robotik to join the community of robot enthusiasts. Check out the amazing content from my talented friends who share insights on similar topics: Ahmet Ömer Yılmaz Muhammet Furkan Bolakar RoboSapienss Milos Kucera Adrian Stelmach Florian Palatini Eduardo BANZATO Amir Sanatkar Amine BOUDER Ulrich Moeller 🤖 🤖 Luis L. Ronald van Loon Christine Raibaldi Marcus Scholle Philipp Kozin, PhD, MBA Ismail Durgun (Assoc. Prof.) Andrej Morocz Olawale Kolawole Yue Ma Celso Nisterenko Rastko Litricin Lior Zaken Drew Thomas , Ilir Aliu Pareekh Jain Ethen Laing Hector Pujadas Pascal BORNET Alexey Navolokin Dr.-Ing. Eike Wolfram Schäffer , Marcus Parade, 🌞💡✅ MBA, Jason Hood 🦅 Constantin Weiss Ahmed Rashed ⚠️ This video is shared for educational and informational purposes only. It does not contain aany sponsored deals, advertising, or commercial intent. Credit to the original creator. All rights belong to the respective brand. If you are the owner and wish to have it removed or credited differently, please contact us.

Training physical robots just got a virtual upgrade. 🧠🔧 MIT CSAIL and the Toyota Research Institute have developed a groundbreaking technique called steerable scene generation—revolutionizing how robots learn tasks like placing dishes or organizing kitchens. Instead of relying on costly and inconsistent real-world data, this method uses highly realistic, physics-aware 3D environments for robot training. With tools like Monte Carlo Tree Search and reinforcement learning, robots can now learn from tailored virtual setups, improving performance while reducing cost and time. Explore how this fusion of AI, robotics, and simulation is transforming the future of automation: https://lnkd.in/dAQSQPCt #ArtificialIntelligence #Robotics #GenerativeAI #MITCSAIL #ToyotaResearchInstitute #RobotLearning #AIResearch #3DSimulation #Automation #FutureTech

Virtual training for robots is leveling up—MIT CSAIL and Toyota Research Institute are using generative AI and simulation to teach robots complex tasks in physics-aware 3D environments. Smarter learning, lower costs, faster deployment. #Robotics #GenerativeAI

A major leap for robot learning: steerable scene generation enables training in physics-aware, photorealistic simulations—cutting costs and accelerating development. Exciting progress at the intersection of AI and robotics. #RobotLearning #3DSimulation

Training robots in photorealistic, physics-aware virtual environments is a game-changer. MIT CSAIL and Toyota Research Institute are redefining robot learning—faster, cheaper, and smarter. A major step toward scalable, real-world autonomy. #RobotLearning #3DSimulation

🤖💥 $80K Humanoid Robot Pushed to the Limit An $80K humanoid robot just faced one of the harshest durability tests ever, and let’s just say, it didn’t make it out unscathed. Engineers subjected the robot to extreme stress tests, including high-impact pushes, balance shocks, and continuous motion challenges, all designed to push its mechanical and electronic systems to the edge. The result? Joints failed, circuits fried, and the robot that once moved like a human struggled to survive the test. But is this a failure, or a critical learning step toward creating robots strong enough for real-world applications? 👀 Durability tests like this aren’t just about breaking machines they’re about understanding limitations, refining designs, and pushing robotics closer to being safe, reliable, and resilient in everyday and extreme environments. Every failure teaches engineers how to improve materials, sensors, actuators, and AI control systems, making the next generation smarter and tougher. From advanced humanoids to service robots, this journey highlights how humanoid robotics is still in its experimental phase, where every setback is an opportunity to advance the field. 🔹 Follow AIPOOOL to Stay Ahead in the Race of Tech & AI 🚀 📩 Subscribe to our newsletter on LinkedIn 🔗 https://lnkd.in/gnUKzght #AI #Robotics #Humanoid #Engineering #Innovation #Technology #Automation #Machine #Learning #Future #Durability #Test #News #AIPOOOL #Science #Tech #Experimentation