Abstract--As labor shortage increases in the health sector, the demand for assistive robotics grows. However, the needed test data to develop those robots is scarce, especially for the application of active 3D object detection, where no real data exists at all. The captured environments represent areas which are already in use in the field of robotic health care research. We further provide ground truth data within one room, for assessing SLAM algorithms running directly on a health care robot. Rendered image of the captured scene at DLR.

Tomorrow, Prof. Haddadin from the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich will explain live to students the opportunities and limitations of robots. Not without bringing GARMI, of course: He can blink, wave, wait tables and even do rehabilitation exercises with patients as a physiotherapist's assistant. German You will find the broadcast afterward in the ZDF Mediathek - https://lnkd.in/eENS7Hvq

The field of robotics and machine intelligence has experienced significant growth over the last few years. Technological advancements have enabled researchers to develop increasingly sophisticated devices and artificial intelligence systems capable of performing tasks traditionally reserved for humans. To understand where these fields are heading, it's important to review where they've been and what the role of robotics and machine intelligence has been so far in human history. Robots are machines that can complete physical tasks autonomously or semi-autonomously without human intervention. Robots typically perform tasks for humans, such as manufacturing, assembly, welding, painting, and many other functions. They may be guided remotely or operate autonomously using artificial intelligence-based systems such as GPS or vision sensors where they locate objects through image recognition technology. The exact definition of a robot is open to interpretation. Machines exhibit intelligence when they're able to sense, learn, and respond autonomously. But how is machine intelligence different from artificial intelligence?

Sami Haddadin runs a'robot kindergarten' where intelligent machines learn from each other.Credit: Technical University of Munich "AI and robotics development pull us right into the heart of what it is to be human," says Sami Haddadin, founding director of the Munich School of Robotics and Machine Intelligence (MSRM) at TUM. "We're not looking to usher in an'age of automatons'. Rather, we hope to enable a smooth transition to an age of human- machine interaction." MSRM's research agenda covers the understanding of humans in order to develop intelligent machines that can, in turn, help humans. Haddadin gives an example: give a young child a key and, within around 20 tries, they can unlock a door. A child's intuitive ability to manipulate a tool is one aspect, but they also watch and learn from adults.