What good is the smartest machine if it can't utilize its potential? A robot without high-end environmental recognition is like a race car without steering wheel. As interaction between humans and machines becomes increasingly important, it must be ensured by modern machine vision systems. What technologies will be available to implement this in the future? And what deficits remain? How will the evolution of machine vision affect the development of robotics in the coming years? This is what the third munich_i Hightech-Summit session is all about.
Smart machine vision has seen the greatest advances in the field of robotics and AI in the past. Even scientists are amazed at the quality of camera systems that seemed entirely impossible ten years ago. And quality is key: Only reliable object recognition enables the artificial intelligence networked with the machine to recognize its task and implement its specific application – opening up the road to the industry’s future.
In the third munich_i Hightech-Summit session, Dr. Alfred Rizzi focuses on the aspect of robot autonomy: In his presentation “Developing and Deploying Capable Legged Mobile Manipulation Robots”, Alfred claims that the wheel is obsolete. In his view, the future lies in the limbs. The Chief Engineer at Boston Dynamics specializes in machines that mimic the gait of humans or various animal species. Unlike their rolling predecessors, these machines can conquer parts of the world previously inaccessible to robots.
Session 3: Machine Vision and Autonomy
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