The next Doctoral Research Seminar next Monday will present 'Enjoying Time with Robots: Design Interactive Robots That Are Fun to Interact With' by prof. Albrecht Schmidt and Sven Mayer.🤖 July 1st, 2024, 10:30 am - 11:30 am in room 2026, Karlstr. 45. What does it take to make interacting with someone or something enjoyable? What qualities make us want to work with a particular person? When do we enjoy interacting with people, animals or things? Can we apply the answers to these questions to human-robot interaction? How can we design systems with higher levels of autonomy, such as smart environments, robots, and cars, so that we want to use them and interact with them? In particular, effective teaching of these systems is crucial to making them useful, enforcing desired behavior, and correcting undesired actions. In-situ learning and adaptation to specific contexts (e.g. culture, user type, preferences) are essential for effective real-world learning. However, motivating humans to teach machines is the key challenge. We argue that curiosity-driven behavior can lead to more natural interactions and increase human willingness to teach. We see this as a first step towards designing interactive robots that are fun to interact with. We hope to discuss with you our experiences from research and teaching in this area. #human-robot #interaction #robotics
TUM - Institute for Cognitive Systems’ Post
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Looking forward to discussing human robot interaction on Monday! We start out with the question: what makes it fun to be with someone? To interact with someone? How can this inform how we design human robot interaction?
The next Doctoral Research Seminar next Monday will present 'Enjoying Time with Robots: Design Interactive Robots That Are Fun to Interact With' by prof. Albrecht Schmidt and Sven Mayer.🤖 July 1st, 2024, 10:30 am - 11:30 am in room 2026, Karlstr. 45. What does it take to make interacting with someone or something enjoyable? What qualities make us want to work with a particular person? When do we enjoy interacting with people, animals or things? Can we apply the answers to these questions to human-robot interaction? How can we design systems with higher levels of autonomy, such as smart environments, robots, and cars, so that we want to use them and interact with them? In particular, effective teaching of these systems is crucial to making them useful, enforcing desired behavior, and correcting undesired actions. In-situ learning and adaptation to specific contexts (e.g. culture, user type, preferences) are essential for effective real-world learning. However, motivating humans to teach machines is the key challenge. We argue that curiosity-driven behavior can lead to more natural interactions and increase human willingness to teach. We see this as a first step towards designing interactive robots that are fun to interact with. We hope to discuss with you our experiences from research and teaching in this area. #human-robot #interaction #robotics
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Strategy & Innovation: #Technology #Strategy #Leadership #Research #Innovation #FashionTech #DeepFashion #DesignAutomation #DigitalTransformation #MicroAutomation #DataDriven
Revolutionizing Robotics: Self-Learning Machines Break New Ground in Autonomous Skill Acquisition. Robots are reaching a new frontier in autonomy by developing the ability to train themselves without human intervention, marking a significant leap in robotics. Traditionally, robots have required precise programming and extensive human-led training to acquire new skills. However, the introduction of a method known as "practice makes perfect," leveraging AI and machine learning, enables robots to independently practice tasks, refine their skills, and adapt to new situations in real-time. This advancement was demonstrated by engineers at Carnegie Mellon University, who created a robotic system capable of mastering the complex task of draping cloth over objects—a challenge in robotics due to the unpredictable nature of fabric. The robots used reinforcement learning techniques to practice continuously, improving their ability to handle different types of fabrics and shapes. The breakthrough lies in the system's ability to simulate millions of scenarios, learning from each attempt, which drastically reduces the time and resources traditionally needed for robotic training. Such autonomous learning capabilities could revolutionize industries reliant on automation, from manufacturing to healthcare, by creating robots that can adapt to diverse tasks without constant reprogramming. This evolution not only makes robots more versatile but also sets the stage for them to perform more intricate and delicate operations, potentially transforming how industries operate and paving the way for broader applications of robotics in everyday life. #RoboticsInnovation #AIRevolution #AutonomousMachines #ReinforcementLearning #FutureOfAutomation https://lnkd.in/dJhfwDhG
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𝗦𝘂𝗿𝘃𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 A survey by the United Robotics Group, in collaboration with Harris Interactive, surveyed 7,779 people across Germany, France, Italy, Canada, and the USA, shining a light on global sentiments towards robotics and automation. Here’s what we discovered: 🚀 𝗪𝗼𝗿𝗹𝗱𝘄𝗶𝗱𝗲 𝗘𝗻𝘁𝗵𝘂𝘀𝗶𝗮𝘀𝗺: There's a universal belief in the growing significance of robotics, especially in industries like healthcare, security, and digital technology. 🤔 𝗚𝗲𝗿𝗺𝗮𝗻𝘆'𝘀 𝗨𝗻𝗶𝗾𝘂𝗲 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻: While interest in robotics is high, Germans show a bit more reservation, highlighting a unique perspective in the debate between technological advancement and societal impact. 📚 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻: Across the board, the data reveals a need for more robust robotics education. With better information, the scepticism surrounding robotics decreases, opening doors to innovation and acceptance. 🤖 𝗪𝗼𝗿𝗸𝗽𝗹𝗮𝗰𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: Despite concerns about job rationalization, 80% see robotics enhancing the workplace, hinting at a future where opportunities in robotics outweigh the risks. 🎓 𝗡𝗲𝗲𝗱 𝗳𝗼𝗿 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: The study highlights a significant gap in robotics education. There's a call to action for integrating robotics learning from elementary to university levels to prepare the next generation of skilled workers. What are your thoughts on these insights? #Robotics #Automation #Future #Education #Innovation #Study Click here for the complete study: https://lnkd.in/emznwB6P
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Let's Start our ROBOTICS Adventure! In this post 1, we'll define robotics in three different difficulty levels, catering to beginners, intermediate learners, and advanced enthusiasts. Whether you're new to the field or looking to expand your knowledge, this series is perfect for anyone curious about robotics! Basic Definition (Beginner) Robotics is the science of creating machines that can help people by doing tasks that are too difficult, dangerous, or repetitive for humans to do. These machines, called robots, can think and act on their own to some extent. Intermediate Definition (Medium) Robotics is a multidisciplinary field that combines engineering, computer science, and mathematics to design, build, and operate robots. These robots can perceive their environment through sensors, process information through algorithms, and interact with their environment through actuators, enabling them to perform a variety of tasks autonomously or through human control. Advanced Definition (Level 3) Robotics is a field of research and engineering that deals with the design, development, and deployment of autonomous systems that can perceive, reason, and interact with their environment. This involves the integration of multiple disciplines, including artificial intelligence, computer vision, machine learning, control systems, and human-robot interaction, to create robots that can adapt to complex and dynamic environments, and perform tasks that typically require human intelligence. #robotics #AI #engineering #technology #mechatronocs #machinelearning #intelligentsystems #roboticseries #learnrobotics #computervision #artificialintelligence #bahriauniversity #bukc #RoboticsCommunity #RoboticsExplained #pec #science
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🚀 Unlocking the Future with Robotics and AI! 🤖 🌟 I'm thrilled to share that our recent Robotics and AI course was a tremendous success! 🎉 🔍 Course Highlights: In-Depth Learning: Participants delved into advanced robotics concepts and cutting-edge AI technologies. Hands-On Experience: Through practical projects, attendees built and programmed their own robots, integrating AI to solve real-world problems. Expert Guidance: Led by industry leaders and seasoned professionals, ensuring top-notch instruction and insights. Collaborative Environment: Fostered a community of learners, encouraging networking and collaborative problem-solving. 📈 Impact and Outcomes: Skill Development: Participants gained valuable skills in robotics programming, machine learning, and AI integration. Career Advancement: Many attendees reported significant career growth opportunities post-course. Innovative Projects: Showcasing innovative projects that tackled real-world challenges, from autonomous vehicles to smart home devices. 🎓 Participant Feedback: "This course was a game-changer for my career in AI and robotics!" "The hands-on projects helped me understand complex concepts and apply them practically." 👥 Join Us: Stay tuned for our next session and join a community that's shaping the future of technology! #Robotics #AI #TechEducation #Innovation #CareerGrowth #FutureTech
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AI collaborative robots… ready to use with no additional teaching… That’s why #WeLoveEngineers! Kyocera’s new collaborative robot service accumulates knowledge through #AI and #3Dvision to perform various tasks and help businesses improve their high-mix, low-volume manufacturing. It’s a solution only made possible through the dedicated research and development of engineers who just want to make a better service for customers. And that’s why we love engineers. #robotics #robot #engineering #engineer #science #technology
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Researchers at University of California, Berkeley have developed RoVi-Aug, an innovative framework designed to enhance skill transfer between different robotic systems using state-of-the-art generative models. This approach allows for the augmentation of robotic training data, enabling robots with varied bodies and camera viewpoints to learn from each other’s experiences seamlessly. Unlike previous methods, RoVi-Aug supports fine-tuning and eliminates the need for precise setups, making it a versatile tool for deploying robotic skills across diverse platforms. By creating synthetic demonstrations, it enables cost-effective and efficient policy training. This advancement holds the potential to significantly broaden the capabilities of robotic systems, enhancing their adaptability in real-world applications. The team is now working to expand RoVi-Aug's use to existing datasets, with plans to collaborate with industry leaders like Toyota Research Institute. https://lnkd.in/gFD_84hb #Robotics #IP #VC #Patents #RoboticSystems #IP #Patents #DeepTech
New data augmentation algorithm could facilitate the transfer of skills across robots
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"An interdisciplinary research team from the University of Waterloo's Social and Intelligent Robotics Research Lab (SIRRL) has found that people prefer interacting with robots they perceive to have social identities like their own. This finding was made by Dr. Moojan Ghafurian, based in the Department of Systems Design Engineering and Dr. Kerstin Dautenhahn, from the Department of Electrical and Computer Engineering, who worked together to conduct new research on human interactions with social robots. These robots possess social abilities and can interact with humans in interpersonal and social manners." #robotics #robots #socialidentities #socialrobots
Helping robots make a better first impression
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Researchers have developed a framework that enables robots to learn from online videos of human activities 📹🤖. This cutting-edge approach uses advanced machine learning techniques to help robots understand and replicate human actions by watching videos 🎥. Such advancements could significantly enhance robot capabilities in fields like manufacturing, healthcare, and domestic tasks 🏭🩺🏠. #Robotics #MachineLearning #Innovation #TechXplore
New framework allows robots to learn via online human demonstration videos
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Robotics is fascinating, as is AI. I wonder when and where the intersection among robotic coordination, AI decision making, and economic viability will intersect that we'll see house painters, car mechanics, electricians, plumbers etc?
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🤖 Transforming Tomorrow: How Robotics is Revolutionizing Education and Beyond! 🚀 Step into the future with cutting-edge robotics technology! Whether you're an educator, creator, or tech enthusiast, embracing robotics opens up a world of possibilities. Dive into the realm of AI and sophisticated mechanics with our state-of-the-art robotic solutions. 🔑 Key Highlights: 🌐 Advanced Mobility 🤲 Interactive Capabilities 📹 AI-Powered Vision Are you ready to push the boundaries of innovation and creativity? Explore our range of robotics tools and see how they can redefine the learning and development landscape! 🌟 👉 https://lnkd.in/gdweRgAX Have Questions? Experts Have Answers – Contact Us 👉 https://lnkd.in/gbkphHHa #RoboticsRevolution #FutureOfEducation #InnovateWithAI
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