Whether production, transport, healthcare, service or household: Robotics and artificial intelligence have ushered in an age that is already fundamentally changing our private, professional and social lives and will continue to do so in the future. Which areas will see the greatest impact of these innovative technologies? What new applications will we benefit from in the future? The digital AI.Society exhibition will present about 30 exciting use cases – with a focus on work, health and mobility. The protagonists? Developers and researchers of various chairs of the Technical University of Munich as well as award-winning start-ups and renowned partners from the greater Munich area.
In addition to concrete applications for work environments, health and mobility, AI.Society also sheds light on ethical issues. Because, like every kind of social transformation, Robotics and AI brings about both opportunities and new challenges. This makes it all the more important to carefully shape this transformation process.
Representatives from science, business, politics and society will jointly develop visions and concrete approaches on how robotics and AI can be used to create a future worth living. A future that will continue to be centered around people – where robotics and AI will be advanced to the benefit of society.
Around 30 demonstrators of the Technical University of Munich and of the Munich School of Robotics and Machine Intelligence (MSRM/TUM), as well as selected start-ups will design their own brand room on the digital platform of automatica sprint. In addition to information about the respective teams, exemplary initiatives or projects will be presented in 2-minute videos.
Want to get in touch? You can easily contact the researchers and developers via video or voice chat to ask further questions about the project or to exchange ideas about collaboration options.
As a congenial complement to the digital exhibition in the brand rooms, various company sessions will take place on June 23 and 24: 20-minute live demonstrations each provide a fascinating insight into current research and real-life scenarios on the topics of the future of work, the future of health and the future of mobility.
In the past, nothing influenced and changed the field of work more than the development of new machinery and production resources. But that has changed now. The research experts at TUM are taking a people-centered approach in their vision of the factory of the future. This is not about the replacement or disenfranchisement of humans by technology, but about strengthening their skills, promoting and extending their craftsmanship and creating a safe working environment.
So what makes this happen? Solutions that mimic and combine human skills as much as possible. These can then be adapted to individual requirements using robotics and AI and reliably enable the optimization of production processes. Like the smart Luminovo software, which digitizes manual processes, both within electronics manufacturers and between product developers and electronics manufacturers, to simplify development and procurement processes in the hardware value chain.
Or solutions from Roboception, which rely on 3D-preception and applied AI to enable any robotic system to sense and analyze its environment in real time before planning and executing actions – such as grasping and placing objects. The vision: a production line enabling production to flexibly respond to changes through close cooperation between humans and robots.
Whether simple and safe human-robot interaction, 3D navigation, item picking, highly sensitive sensor technology or tactile gripping: AI.Society shows initiatives that address the diverse key components and approaches in industrial automation, logistics, assembly and manufacturing processes – and provide a lot of inspiration
From the digital hospital to individualized diagnostics: Doctors, engineers and computer scientists use robotics to develop technical solutions aimed at precision and repeatability, bridging the gap between man and machine. To that end, robots formerly used in the industry are being adapted and enhanced to meet the more demanding challenges of the health sector. Computer vision, machine learning, virtual reality and augmented reality, among other things, will bring telemedicine to a whole new level. Some examples:
The Geriatronics Lighthouse Initiative in Garmisch-Partenkirchen develops adaptive humanoid service robots to enable the elderly to live independently. 3D navigation, environmental monitoring and object manipulation are used to create reliable patient monitoring tools that provide greater safety for the elderly and support caregivers. The goals of Geriatronics: to preserve mobility and interpersonal interaction in old age as well as to extend independent living through technical assistance systems with intuitive operation.
The Magic Mirror from the Chair for Computer Aided Medical Procedures and Augmented Reality (CAMPAR) od TUM uses advanced machine learning, computer vision and augmented reality to develop and visualize a human digital twin. By making the internal anatomical structures of the human body 'comprehensible', it expands our understanding of human physiology and thus helps to significantly improve diagnostics.
The newly developed Micron Precision Robot for Eye Surgery increases precision in the operating room and enables 'jitter-free' execution of ophthalmic surgeries, while CAMPAR's Robotic Sonographer provides smart, accurate, repeatable and radiation-free diagnostics inside and outside of hospitals.
Discover what moves us all – ever since: it is mobility that broadens our horizon, of course also in the world of AI.Society. Sustainable and easy mobility shapes our future. Autonomous vehicles and navigation, interconnected mobility, flying robots, dynamics modelling, and collision detection are essential components of mobile robotics. In addition, AI facilitates our access to various ways of mobility.
AI.Society lets you experience different aspects of mobility up close: from tele operated control of flying robots to humanoid robots. The sector of mobility brings together key aspects of everyday life situations as the analyses of interpersonal interaction in robotic motion processes as well as from intelligent sensors for recognition and real-time location determination systems, which led from co-existence and collaboration of humans and autonomously driving robots to the transfer of human anthropometrics and physiology to walking humanoid robots.
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