Deepak T M’s Post

🤖 Say Goodbye to Roombas! Two innovative students from Stanford have created a universal home assistant using readily available materials, with a total cost of $32k. The robot was trained using human demonstrations (~50), allowing the neural network to accurately replicate the learned actions. Impressively, the robot utilizes almost all its parts simultaneously—for instance, one manipulator holds a pot lid while another pours the sauce. Interested in building your own? Check out the detailed assembly guide here: Assembly Guide. #Robotics #Innovation #HomeAutomation #DIY #Stanford #Tech #FutureOfHomeCare

NVIDIA unveils Project GROOT, teaching humanoid robots to navigate both the real and digital realms. 🤖 GROOT learns from videos and example demonstrations, just like we do from YouTube tutorials. It processes these inputs to perform the next move. Similar to how kids learn from watching and listening, you could show it how to high five a couple of times and then it can high five someone on its own. That is the future NVIDIA is building. 🚀 What's your take on this development? Drop your thoughts below! #NVIDIA #Robotics #AIInnovation #ProjectGROOT #AI #Tech #Innovation #TechFun

Google DeepMind’s AI System Teaches Robot to Perform Complex Task. Here's what's interesting: These robots have learned from human demonstrations. And they have translated images into action. What you're seeing is two robot arms coordinating and completing tasks that have historically been very difficult for robots to perform, and they're performing them autonomously. This is a breakthrough in robotics, thanks to new AI systems. Really makes you wonder where robotics is going next.

Can you remind me again why we don't want robots taking over our roles? Let me reiterate: we definitely don't want robots handling any tasks... Should we really stop teaching them new skills?! Alright, kidding aside... Imagine a way to teach a robot a new skill without even needing a physical robot! That's exactly what UMI does. It uses a special hand gripper equipped with a camera to learn from demonstrations by humans, without requiring an actual robot. Moreover, UMI can teach the same skill to different robots, even if they are constructed differently. This advancement means robots can learn intricate tasks like grasping objects or operating tools, significantly enhancing their usefulness in practical scenarios. I'm sold. I want this robot right now! Stay tuned for more updates on technology. #artificialintelligence #emergingtechnology #robotics

Teaching Robots the Human Way What if robots could learn just by watching us? Enter the Universal Manipulation Interface (UMI) — a game-changing technology that allows robots to learn tasks through human demonstrations. Here’s how it works: 🎥 A GoPro-equipped gripper captures human actions. 🤖 Robots mimic these actions to master tasks like dishwashing or folding clothes. 🌍 Designed for real-world settings, it’s simple, affordable, and highly effective. UMI bridges the gap between human intuition and robotic precision, making automation smarter and more accessible. What task would you teach a robot to make your life easier? 🚀 #AI #Robotics #futureofindia

Integrating UMI into a business network: 👉 https://t.me/theunityhub can empower companies to leverage robotic technology more effectively, driving efficiency, scalability, safety, and innovation across various industries and applications.

🚀 Excited to share our latest research on robotics and AI! Our new blog post "RVT-2: Learning Precise Manipulation from Few Demonstrations" is now live on arXiv. In this work, we delve into building a robotic system capable of learning multiple 3D manipulation tasks with few demonstrations. We introduce RVT-2, a multitask 3D manipulation model that is 6X faster in training and 2X faster in inference than its predecessor RVT, achieving a new state-of-the-art on RLBench. Check out the full post and visual results here: https://bit.ly/4cgZfuY #AI #Robotics #MachineLearning

🚀 Universal Manipulation Interface (UMI) is revolutionizing the way robots learn and perform tasks. 🛠️ An innovative framework that facilitates seamless transfer of skills from human demonstrations to robot policies developed by researchers from Stanford University, Columbia University and Toyota Research Institute. UMI employs hand-held grippers coupled with careful interface design to enable portable, low-cost, and information-rich data collection for challenging bimanual and dynamic manipulation demonstrations. 🤖 With its focus on portable, low-cost data collection and hardware-agnostic policy learning, UMI opens doors to dynamic, bimanual, precise, and long-horizon behaviors across various robot platforms. #Robotics #Innovation #UMI #AI

🚀 Cobot Platform Operations with Imitation Learning 🚀 Imitation Learning enables robots to perform complex tasks by learning from human demonstrations, allowing them to acquire intricate skills without explicit programming. We utilized Action Chunking with Transformers (ACT) to train the Cobot Magic, using 50-70 human demonstrations per task, enabling it to autonomously replicate these actions. Through this process, our platform gains the ability to perform versatile, mobile manipulation tasks, paving the way for robots to handle real-world actions with ease and efficiency. Video Link (Demo 1): https://lnkd.in/gg5jNSwf Video Link (Demo 2): https://lnkd.in/gmPUxYM2 Video Link (Demo 3): https://lnkd.in/g5KUGRyp Reference: https://lnkd.in/gVjgCM6j #ImitationLearning #Robotics #ArtificialIntelligence #Automation #위고로보틱스

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