Although internet giants and auto companies want to push autonomous driving, there are still many obstacles to overcome. A big one might be the moral competence.
From a purely technical point of view, autonomous vehicles are already relatively safe on the roads. Their eyes are 3D cameras, sensors and laser scanners, with which they can perceive their environment in great detail. The successes could only recently be admired at the Consumer Electronic Fair in Las Vegas. There Google, Uber but also car companies and suppliers such as Daimler, Ford, Conti and Bosch showed how they visualize the mobility concepts of the future.
Autonomous driving: Lack of moral competence
The vehicles now move safely over the roads and master a diverse traffic situation. However, in the opinion of Matthias Scheutz, Professor of Cognitive Science and Computer Science at Tufts University in Medford, they can not do one thing: „Robots do not yet know what they are doing. They still lack moral competence. „But this is absolutely necessary to be able to survive in everyday life on the streets, because it requires a clear communication between man and machine, said the professor at the recent German Logistics Congress in Berlin.
In his experience, it’s often very simple things that robots fail to communicate with humans. A simple example is ordering a water. In this case, if a person uses a synonym, the robot does not know what to bring. Only when the person uses the correct word, the subsequent action is successful. But this happens very rarely in reality.
It already works better in intralogistics
After all, robots in areas such as intralogistics are able to interpret their environment in detail and draw corresponding conclusions from it. This then leads to independent actions. The use of picking robots shows that they have arrived in the daily work process. In addition, these robots can take the shoeboxes off their shelves or reset them again. The robots succeed in communicating with each other with the help of WLAN connections.
The robots are conquering new areas in intralogistics due to their increasing intelligent applications. However, if robots need to interact directly with humans, they will continue to reach their limits. According to Scheutz, therefore, additional algorithms are needed to fill exactly these gaps. „Robots need to understand our norms and values to minimize damage,“ said Scheutz. However, this step is still largely missing.