Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich’s Post

Impressively accurate robot grasping, just by thinking!

🧠 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗶𝗻𝗴 𝗥𝗼𝗯𝗼𝘁𝘀 𝘄𝗶𝘁𝗵 𝗕𝗿𝗮𝗶𝗻 𝗦𝗶𝗴𝗻𝗮𝗹𝘀: 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆'𝘀 𝗡𝗢𝗜𝗥 𝗦𝘆𝘀𝘁𝗲𝗺 🤖 Stanford University's innovative project, the Neural Signal Operated Intelligent Robots (NOIR), is a groundbreaking development that uses brain signals to control robots. This cutting-edge system leverages electroencephalography (EEG) to allow humans to command robots to perform a variety of everyday activities. 🚀 𝗪𝗵𝗮𝘁 𝗡𝗢𝗜𝗥 𝗗𝗼𝗲𝘀: NOIR enables the control of robots for tasks such as cooking, cleaning, personal care, and even entertainment. The system consists of two primary components: 1. 𝗗𝗲𝗰𝗼𝗱𝗶𝗻𝗴 𝗛𝘂𝗺𝗮𝗻 𝗜𝗻𝘁𝗲𝗻𝘁𝗶𝗼𝗻: This part of NOIR uses EEG signals to determine what object to interact with and how to do so. It involves understanding different brain signals related to specific tasks and translating them into actions. 2. 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 𝗼𝗳 𝗥𝗼𝗯𝗼𝘁𝗶𝗰 𝗦𝗸𝗶𝗹𝗹𝘀: The second component includes a library of fundamental robot skills like picking, placing, and pushing. These skills can be combined and executed based on the decoded brain signals. ✅ 𝗔𝗱𝗮𝗽𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: One of the key features of NOIR is its ability to adapt to individual users and predict their intentions, thanks to integrated robot learning algorithms. This enhances the effectiveness of the system, making it more intuitive and user-friendly over time. ✅ 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: The NOIR system has successfully been used to carry out various long-horizon tasks, including meal preparation and personal care. Although initial attempts may take longer, the system's efficiency is expected to improve as it learns and adapts to the user's intentions. 🌐 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗕𝗿𝗮𝗶𝗻-𝗥𝗼𝗯𝗼𝘁 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 (𝗕𝗥𝗜): NOIR represents a significant step forward in BRI research, showcasing the potential of direct neural communication in controlling robotic systems. This technology could have profound implications for individuals with mobility impairments, offering a new level of independence and quality of life. Stanford University's NOIR system exemplifies the incredible advances in the field of robotics and neuroscience, opening up new possibilities for human-robot interaction and assistance in everyday tasks. Credits: Alex Banks

Imagine a world where general-purpose robots seamlessly transition between tasks, from assisting in surgeries to sorting recyclables, without the need for retraining with each new job. Unfortunately, the primary barrier to building such adaptable robots is their reliance on task-specific data, which makes them rigid, slow to learn, and unable to handle unexpected situations. To overcome this, researchers at Massachusetts Institute of Technology developed a training technique that integrates diverse data from various domains—including simulations, vision sensors, and real-world actions—into a unified "language" for AI models. Their method incorporates over 200,000 robotic trajectories, improving robot adaptability by more than 20% in both simulations and real-world tests, even for unfamiliar tasks. At its core is a Heterogeneous Pretrained Transformers (HPT) architecture, which uses a transformer model (the same type behind large language models like GPT-4) to process various data types, including vision and proprioception (a robot’s sense of movement and position). By aligning these data inputs into a single format, HPT allows robots to learn and adapt to different tasks without retraining from scratch. "Our dream is to have a universal robot brain that you could download and use for your robot without any training at all. While we are just in the early stages, we are going to keep pushing hard and hope scaling leads to a breakthrough in robotic policies, like it did with large language models." Researchers mentioned: Lirui Wang, Alan (Jialiang) Zhao, Xinlei Chen, Kaiming He #innovation #robots #artificialintelligence #MIT

Sanctuary AI just released the seventh-gen of its Phoenix humanoid robot, featuring substantial new enhancements to both the physical design, AI systems, and training process. Gen 7 brings longer operational times, streamlined manufacturing, and significantly lower production costs. The robot’s body has been overhauled with improved dexterity, durability, visual perception, and sensing capabilities. Phoenix’s ‘Carbon’ AI system can now master new tasks in under a day, a major leap from earlier generations' weeks-long training times. Humanoid robots continue to advance at lightning-fast speeds — with new models inching closer and closer to sci-fi capabilities. With rapidly accelerating AI models coming alongside improved hardware, it’s only a matter of time before these robots are integrated into the real world. #ai #humanoid #technology #innovation https://lnkd.in/g4bSaC8D

Key Areas of AI Robotics: Autonomous Navigation: Robots equipped with AI can navigate complex environments without human intervention, using sensors and algorithms to map their surroundings. Computer Vision: AI enables robots to interpret and understand visual data, allowing them to recognize objects, track movements, and respond to visual cues. Natural Language Processing: Some robots can understand and respond to human speech, facilitating more intuitive interactions. Machine Learning: Robots can learn from their experiences, improving their performance over time in tasks such as object manipulation or environment interaction. Human-Robot Interaction: AI enhances the ability of robots to work alongside humans, understanding social cues and adapting to human behaviors. Applications: Manufacturing: Robots streamline production processes, increasing efficiency and precision. Healthcare: Surgical robots assist in procedures, while AI can help in diagnosis and patient care. Agriculture: Robots monitor crops, automate planting, and optimize resource usage. Service Industries: AI-driven robots can assist in hospitality, retail, and logistics. Exploration: Robots equipped with AI are used in space exploration and underwater research. Challenges: Ethics and Safety: Ensuring that AI robots operate safely and ethically in society. Job Displacement: Addressing concerns about robots replacing human jobs. Complexity and Cost: Developing advanced AI robotics can be resource-intensive. #AI #Robotics #Innovation #Technology #FutureOfWork

Boston Dynamics and Toyota Research Institute (TRI) are collaborating to bring AI-based intelligence to Boston Dynamics’ electric Atlas humanoid robot. TRI’s work on large behavior models (LBMs), similar to large language models like ChatGPT, will help robots perform tasks more autonomously. TRI has demonstrated success with robot learning, achieving 90% accuracy in household tasks. Boston Dynamics, known for its robotic hardware like Spot, aims to accelerate the development of general-purpose humanoids. Despite advancements in robot hardware, achieving true artificial general intelligence (AGI) remains a challenging goal. https://lnkd.in/d6fHJ3YC #Robotics #AI #Humanoids #BostonDynamics #ToyotaResearchInstitute

𝐓𝐡𝐞 𝐊𝐞𝐲 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 𝐁𝐞𝐭𝐰𝐞𝐞𝐧 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐀𝐈 While often used interchangeably in popular media, #robotics and artificial intelligence (AI) refer to distinctly different fields. Both are at the forefront of technological #advancements and have significant but varying impacts across industries. Understanding these differences can help clarify their applications and potential. Here are the key differences between robotics and #AI. #Technology #Innovation #SintoAmerica #ArtificialIntelligence https://lnkd.in/d3xxsw4A

🚀 Exciting news! 🤖 Artificial intelligence (AI) is taking the world by storm, and its latest breakthrough is set to revolutionize the way we move and perform tasks. Today, I want to share with you a fascinating story about how AI-powered simulation training is improving human performance in robotic exoskeletons. Get ready to be amazed! 😮 Researchers have recently demonstrated a groundbreaking method that combines AI and computer simulations to train robotic exoskeletons. [3] [2] [1] These exoskeletons are designed to autonomously assist users in saving energy while walking, running, and even climbing stairs. Can you imagine the possibilities? 💪 The potential of AI in data analytics has already been proven, but now it's making its way into the world of robotics. By leveraging AI algorithms, these exoskeletons can analyze massive amounts of data at lightning speed, uncovering hidden correlations and trends that might escape the human eye. It's like having a trusty sidekick who can turbocharge our mobility! 🏃♀️ But where did this incredible innovation come from? A study conducted at the University of North Carolina and North Carolina State University at Chapel Hill has adopted AI as a crucial part of their research on exoskeletons. These intelligent exoskeletons are the latest breakthrough in futuristic technology, and they hold the key to improving mobility for individuals with physical limitations. 🦾 Imagine a world where exoskeletons equipped with AI can assist people in their daily lives, providing support and enhancing their abilities. Whether it's helping around the house or in the workplace, these humanoid robots fueled with common sense are the future we've been waiting for. 🌍 Now, I want to hear from you! What are your thoughts on this incredible advancement in AI and robotics? How do you envision the future of exoskeletons and their impact on human performance? Share your insights and let's start a conversation! 💬 Let's embrace the AI revolution and unlock the full potential of robotic exoskeletons together. Stay tuned for more updates on this exciting development! #AI #Robotics #Exoskeletons #Innovation #FutureTech References: [1] Unveiling the Pros and Cons of Artificial Intelligence: https://lnkd.in/eyXPcJf4 [2] The Future of AI and Machine Learning in Data Analytics: https://lnkd.in/ebcbeF-M [3] The AI revolution is coming to robots: how will it change them?: https://lnkd.in/ekD3SA3c

🌟 Revolutionizing Robotics: The Future of AI with a General-Purpose Brain!🌟 Hello, LinkedIn Family! I'm Ritesh Mhetre, currently pursuing Electronics and Telecommunication Engineering. Today, I want to share some exciting developments in the field of artificial intelligence and robotics, inspired by an article I recently read in the Indian Express. An innovative AI startup is making headlines by working on a general-purpose brain for robots. This ambitious project aims to create a versatile AI system that can empower robots to perform a wide range of tasks across various industries, from manufacturing and logistics to healthcare and beyond. Key Highlights of the Startup's AI Brain Development: 1. General-Purpose AI: Unlike traditional AI models designed for specific tasks, the startup is developing a general-purpose AI brain capable of learning and adapting to multiple tasks. This breakthrough could enable robots to handle complex, dynamic environments more effectively. 2. Versatility and Flexibility: The AI brain is designed to be highly versatile, allowing robots to switch between tasks without needing significant reprogramming. This capability is expected to significantly reduce costs and improve efficiency across sectors that rely on robotics and automation. 3. Applications Across Industries: With a general-purpose AI brain, robots could be deployed in various settings, including warehouses, hospitals, and even homes. The technology aims to make robots more intuitive and capable of interacting seamlessly with their environment, enhancing productivity and safety. 4. Advancements in AI Research: The startup's work represents a major step forward in AI research, focusing on developing more advanced neural networks and machine learning algorithms that mimic human cognitive abilities. This research could lead to significant advancements in AI, pushing the boundaries of what machines can achieve. This development in AI and robotics is incredibly exciting for us engineers and tech enthusiasts! It opens up new possibilities for innovation and collaboration, driving us closer to a future where robots are more integrated into our daily lives and industries. As I continue my journey in electronics and telecommunication engineering, I am inspired by these advancements and look forward to exploring how we can harness such technologies to solve real-world problems and improve our quality of life. Let’s stay curious and continue to innovate! #ElectronicsEngineering #TelecommunicationEngineering #AI #Robotics #Innovation #FutureOfTechnology #GeneralPurposeAI #EngineeringStudents #ArtificialIntelligence #TechInnovation

AI and robotics are transforming the field of Life Sciences, accelerating scientific breakthroughs, and driving innovation. This insightful article from AIwire highlights the cutting-edge technologies reshaping research and development. https://bit.ly/3X78Xf3 #LifeSciences #EnterpriseAI #FutureOfScience