|Name:||Robots in Crowds - Robots & Clouds|
|Time:||Tuesday, June 20, 2017
01:45 pm - 02:15 pm
|Breaks:||12:30 pm - 01:45 pm Lunch|
|Speaker:||Sabina Jeschke, RWTH Aachen University|
Currently, we are experiencing the rapid expansion of artificial intelligence (AI) technologies, which, in conjunction with other developments in cyber-physical systems, the Internet of Things, and Industry 4.0, is leading to breakthrough applications in industry and research. For example, autonomous systems are being developed to not only provide the factory floor with new capabilities, but also to change the way people interact with technology in everyday life. The interaction between AI and autonomous systems is leading to the development of advanced mobile robotic platforms for unstructured, highly demanding environments. The self-driving Google car and its siblings illustrate this trend, and represent as forerunners of this new paradigm. In particular, the human-machine interaction has to reach new levels in order to integrate these robots smoothly in the established structures in towns, private homes and the working world. This will entail many challenges, including ethical ones.
Within this talk, new trends in robotics will be discussed. In particular, the interconnection between artificial intelligence, cognitive systems and robotics will be illustrated. Different paradigms concerning the shape of robots (humanoids, robots on wheels, animal-like robots, industrial robots and others) will be analyzed with respect to their application areas, but also with respect to their physical realization. An important concept of robotics is given by the design of distributed systems as realized in the “smart dust” concept and car2infrastructure communication model.
Clearly, big data and its analytics have to be considered a critical element of robotics. At the same time, the connection between robotics to certain areas of HPC becomes obvious. That fact that mobile robots, such as drones, will be required to perform complex tasks in unpredictable environments creates a number of challenges with regard to computational density and power usage, thus, new models for the allocation of HPC technologies in robots will become necessary.