Thesis: Give life to Will-e
7 months ago
Summary
Advanced human robotic interaction has for a long time been a topic mainly for science fiction and academic research. The last few years advancing AI technologies have however bridged the gap between science fiction and reality, and a future where we will meet and interact with robots almost every day doesn’t seem far away. But while AI models are getting smarter in conversation and reasoning their moving patterns and facial expressions can still be perceived as stiff and static. Genetic algorithms might however offer ways of searching for interaction patterns that appear pleasant to humans. In this thesis, students will therefore explore how genetic algorithms can be used to find such patterns.
To their help they will have the vehicle Will-e which is small electric vehicle at Semcon office. Equipped with lidar, camera and radar, he has the possibility of detecting people and other objects in his vicinity. He also has a mouth displayed on a LED matrix and eyes in the form of led matrices are planned to be added. With these he will have the appearance of an intelligent machine. To control Will-e, the robot operating system ROS2 is used and with it he has the possibility to move around, flash his headlights, control his smiling mouth, and use his eyes for interacting with people.
Research question:
How can Genetic Algorithms be used to find movement/expressions that attract human attention?
Relevant articles:
Semcon has operations in over 30 locations across many different markets around the world. The greatness of technology is measured by the value it adds for its users. For us at Semcon, the most important factor is always our end users, the people actually using the technology. People first, then technology. Every day we cooperate with our customers to develop products, systems and services in a wide range of areas. We also work together with students from all sorts of educations to further the skills, experience, and knowledge among us.
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