Daniel Gunadi’s Post

🤖 Unlocking New Levels of Robot Dexterity! Meet ALOHA Unleashed and DemoStart, two groundbreaking AI systems designed to help robots learn complex, dexterous tasks like tying shoelaces or tightening screws! These new systems from researchers are pushing the limits of what robots can achieve by mastering two-armed manipulation and improving multi-fingered hand movements using simulations. By learning from human demonstrations and converting images into actions, robots are becoming more capable of performing intricate tasks, bringing us closer to a future where robots play a bigger role in our daily lives. #AIInnovation #Robotics #FutureOfWork #TechAdvancements #RoboticDexterity

AI technology is a double-edged sword with both benefits and drawbacks for humans. On the positive side, AI can enhance productivity, automate mundane tasks, and provide sophisticated solutions to complex problems. However, AI also presents several challenges. One major concern is job displacement, as automation can lead to significant shifts in the labor market and economic disruption for certain industries. It's important to understand the positive and negative impact that comes with Artificial Intelligence. 🤖

🤖 NVIDIA just introduced Project GROOT to help humanoid robots learn in the real world. 📚 GROOT learns from things like language, videos, and demonstrations to figure out what to do next. 🔄 So, you can show it how to do something a few times, and then it can do it by itself. 🍳 For example, it could learn how to cook or play the drums. 🚀 Exciting times ahead! Link to the full keynote speech of Nvidia's CEO in the comments. #nvidia #ai #artificialintelligence #robotics #innovation Armand Spee Rano Lerrick

the future is now

"Mobile ALOHA" revolutionizes Robotics! Imitation learning from human demonstrations has taken a giant leap beyond table-top manipulation. Here is a system for bimanual mobile manipulation tasks requiring whole-body control. Meet Mobile ALOHA—a low-cost, whole-body teleoperation system that combines ALOHA with a mobile base. Witness it autonomously completing complex tasks like sauteing, serving, cabinet handling, elevator usage, and pan rinsing with just 50 demos for each task. Website: https://lnkd.in/dam85Dv3 Github: https://lnkd.in/dJmqiy-7 #Robotics #Innovation #AI 

🚀 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

NVIDIA's Project GROOT is a game-changer for humanoid robots! This new foundational technology allows robots to learn from human demonstrations and complete tasks in virtual environments. This is a huge step forward for the field of robotics, and I can't wait to see what the future holds! #NVIDIA #ProjectGROOT #Robotics #AI #FutureofTechnology

I have seen many types of humanoid robots, but this prototype from Figure is powered by OpenAI. Its ability to recognize surrounding objects and summarize them in conversation with humans is truly amazing. My personal experience with Aldebaran Pepper was challenging, especially when conducting demonstrations in public due to noisy environments. The speech recognition modules I tested at that time included Google Speech API, IBM Watson Speech to Text, and a few others. Unfortunately, most of the time, they failed to accurately capture my instructions in noisy demonstration areas. #robotics #speechrecognition #artificialintelligence Video Credits: https://lnkd.in/gwuSms6n

The speed of progress in the field of AI atm is insane and now hitting the 'real' world with humanoid robots. Long awaited, but the breakthrough moment for humanoid robots stayed out so far and with that, the broad adoption of robots in everyday's life as well, be it for tasks like caring, serving or cleaning. This might now change and projects like GR00T by NVIDIA paving the path towards large scale use of humanoid robots. Why it matters so much? We see massive deceleration of productivity gains compared to previous decades in the Western world, in particular in Europe. This is accompanied with an aging demographic environment plus insane growth in debt which results in a decline of GDP growth or even negative GDP growth rates like in Germany currently (see my previous post regarding 'the Everything Code'). With rising payments for interest, gains in productivity seem to be the only way out of this dilemma and the only source it can come from, is from an increase in efficiency or rather through technology, first and foremost through AI. Humanoid robots in that sense are a game changer, since they can overtake human tasks, e.g. cooking, leading to more efficiency alongside humans. One core task will be: how can we ensure the security of those robots, so that we're not ending up in an I, Robot science fiction scenario. That's what I try to get my head around and work on. Thanks for sharing Dr. Andre Retterath ✌️

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