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Robots can play Table Tenis with help of AI technology

Self learning robots can prove to be double edged sword. so used with extereme caution.

Google DeepMind's creation of a robot capable of playing table tennis like an amateur human marks a significant milestone in robotics and artificial intelligence. The fact that this robot won 45% of its matches against 29 human players, while improving its performance with each game, demonstrates the potential for AI systems to learn and adapt in real time. This dynamic learning ability could lead to a future where robots are not only programmed with predefined behaviors but are also capable of continually evolving based on their experiences. In fields like manufacturing, this could revolutionize automation, as robots would be able to adjust their tasks on the fly, improving efficiency and reducing downtime. In healthcare, adaptive robots could become invaluable, assisting with patient care, surgeries, and rehabilitation by learning from each interaction to provide more personalized and precise assistance. These robots, with self-learning capabilities, might bridge the gap between human intuition and machine efficiency, potentially collaborating alongside humans in complex environments. However, the advancement also raises important ethical and safety questions, particularly around how these systems learn, make decisions, and integrate into human-centric industries. In the future, ensuring that robots like this are designed with safety, transparency, and accountability in mind will be crucial for their successful and responsible deployment across various sectors. Video credit: DeepMind Video rights are reserved for the respective owner(s). #honestai #honestaiengine

Google DeepMind AI creation of a robot capable of playing table tennis like an amateur human marks a significant milestone in robotics and artificial intelligence. The fact that this robot won 45% of its matches against 29 human players, while improving its performance with each game, demonstrates the potential for AI systems to learn and adapt in real time. This dynamic learning ability could lead to a future where robots are not only programmed with predefined behaviors but are also capable of continually evolving based on their experiences. In fields like healthcare, this could revolutionize diagnosis as robots would be able to improve and adapt. They could become a doctor’s new best friend, assisting them with patient care, surgeries, and rehabilitation by learning from each interaction to provide more personalized and precise assistance. These robots, with self-learning capabilities, might bridge the gap between human intuition and machine efficiency, potentially collaborating alongside humans in complex environments. However, the advancement also raises important ethical and safety questions, particularly around how these systems learn, make decisions, and integrate into human-centric industries. In the future, ensuring that robots like this are designed with safety, transparency, and accountability in mind will be crucial for their successful and responsible deployment across various sectors. We are proud to mention Jen Loving, who is working on a revolutionary idea that would change the way we train AI and future robots (possibly). Together with Cory Warfield, their system is going to be a game changer for future generations. Video credit: DeepMind Video rights are reserved for the respective owner(s). This is not a paid promotion of any sorts. #honestai #honestaiengine

Google DeepMind has made significant strides in advancing robot dexterity with the introduction of two cutting-edge AI systems: ALOHA and DemoStart. ## ALOHA and DemoStart: Revolutionizing Robot Dexterity These innovative systems employ diffusion methods, akin to those used in image generation models, to predict robot actions from random noise. This approach represents a novel application of AI techniques in the field of robotics, potentially revolutionizing how robots interact with their environment. ## Key Features - **Improved Dexterity**: The systems enable robots to perform complex manipulations with increased precision and flexibility. - **Noise-to-Action Prediction**: By utilizing diffusion methods, the AI can generate sophisticated robot movements from seemingly random input. - **Versatility**: These advancements could be applied across various robotic applications, from manufacturing to healthcare. ## Implications for the Future DeepMind's progress in this area signifies a major leap forward in robotics and AI integration. As these technologies continue to evolve, we can anticipate more natural and adaptable robot behaviors, opening up new possibilities for human-robot collaboration and automated tasks that require fine motor skills. This development underscores Google DeepMind's commitment to pushing the boundaries of AI and its practical applications in the physical world.

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Robots + AI = Boon or Bane? Since I started designing the case and reading different articles about the emergence of AI and robotics, one question kept resurfacing: Will AI disrupt or enhance our work, or perhaps even redefine our relationship with it? To explore this, I had some exciting brainstorming sessions with Michael Czarniecki and Kavish Shah. During one discussion, Michael introduced me to CYBATHLON – an inspiring initiative by ETH Zürich. This non-profit project gathers teams worldwide to develop assistive technologies that empower individuals with disabilities to tackle everyday challenges. Imagine tying shoelaces with a robotic arm prosthesis or walking across rocky terrain with a powered exoskeleton. CYBATHLON shows us that, when combined, technology and human determination can achieve incredible things. Witnessing this in action really made me wonder—will AI and robotics actually replace every part of human work, or could they enhance our abilities in ways we haven’t yet imagined? If you're as curious as I am, join me in exploring the potential of emerging tech with this BEEUP. Let's see how we can shape AI to empower or replace. Case Study: https://lnkd.in/gRYagh7W (Image created by ChatGPT) #AI #Robotics #Business

GenAI Products: The Stanford University HumanPlus project is truly fascinating! 🤖🌟 HumanPlus is a humanoid robot that learns to perform tasks by imitating human movements. Here are some key points about it: 🤖 Learning from Humans: HumanPlus leverages a full-stack system to learn motion and autonomous skills from human data. Initially, a low-level policy is trained in simulation using existing 40-hour human motion datasets. This policy then transfers to the real world, allowing the robot to follow human body and hand motion in real time using only an RGB camera (a process called “shadowing”). Human operators can teleoperate the robot to collect whole-body data for various tasks. 🤖 Autonomous Skills: Using the collected data, HumanPlus performs supervised behavior cloning to train skill policies. These skill policies enable the robot to autonomously complete different tasks by imitating human skills. Examples of tasks include wearing a shoe, standing up and walking, unloading objects from warehouse racks, folding a sweatshirt, typing, and even greeting another robot. 🤖 Potential Impact: HumanPlus has the potential to revolutionize robotics and human-robot interaction. By learning from human demonstrations, it bridges the gap between human and robot capabilities. As computational resources improve, we can expect faster and more efficient performance from robots like HumanPlus. 🤖 Open-Source and Collaboration: The project’s open-source nature allows anyone to access the code, dataset, and hardware list. Collaboration and contributions from the wider community can further enhance HumanPlus. In summary, HumanPlus represents an exciting step toward creating robots that seamlessly integrate with human activities. Its ability to learn from us and autonomously perform tasks holds promise for various applications. 🌐🤖 💡 Read more about HumanPlus: https://lnkd.in/gbtRh2dX ------------ Explore all the Curated list of Finest, Verified, and Genuine tools from Thousands of tool on Internet on our Website : https://proaitools.net/ Please Like Share and subscribe if you found value in this. #proaitools #ai #genaiproducts #airobotics #aiworld

Brett Adcock, CEO of Figure robotics, predicts 2024 as the year of Embodied AI, showcasing a humanoid robot that performs tasks and converses—a groundbreaking leap! 🤖💬 OpenAI's collaboration with Figure introduces a fusion of high-level visual and language intelligence from OpenAI models with fast, dexterous actions of Figure's neural networks, revolutionizing AI robotics. 🚀🧠 Adcock's vision for Figure's humanoid robots integrates ChatGPT for end-to-end neural network conversations, setting them apart from competitors and propelling AI-human interaction to new heights. 👩💻👨🔬 The convergence of reliable humanoid hardware and real-world neural nets signifies a milestone in AI development, paving the way for advanced robotics capabilities like never before. 🌟🤖 Figure 01's demo video showcases not just task completion but also conversational abilities, hinting at a future where robots seamlessly blend functionality and communication. 📹🤖 Sam Altman, OpenAI's chief, shares optimism about robotics' future, citing exciting advancements in physical hardware platforms—a testament to the rapid evolution of AI-driven robotics. 🔍🔧 The era of robotics in 2024 witnesses remarkable strides, from humanoids like Figure 01 to general-purpose robots, highlighting a diverse landscape of AI-powered machines shaping our world. 🌍🤖 Innovations in robotics training, such as Chen Wang's wearable devices for data collection and Karol Hausman's foundation models for robot control, showcase a multidimensional approach to AI integration in the physical world. 🤯💡 Tesla's Optimus and other notable robots like H1 from Unitree Robotics and Moxie from Embodied, Inc., exemplify the range of capabilities AI-driven robotics can achieve, from complex tasks to interactive experiences. 🚗🏃♂️🤖 AGI conversations gain momentum, with Figure 01's demo sparking discussions on robotics' role in AGI development and the potential of Embodied AI to lead us toward a fully en masse humanoid future. 🌌🤖💭 #nvidia #FutureTech #jensen #aichip #businessowner #JobSecurity #GenZ #growth #trendingtopics #trendingvideo #facebook #facebookmemes #viralpost #usa #elonmusk #ceo #startups