Enhancing Human-Robot Collaboration through Preference Prediction in Assembly Tasks
Robots have come a long way since their inception in the mid-20th century, from simple machines performing repetitive tasks to sophisticated machines capable of performing complex tasks such as surgical procedures, space exploration, and manufacturing. However, there is still a major gap in the abilities of robots compared to humans when it comes to understanding human intentions, preferences, and goals. Humans possess an innate ability to understand each other's actions, predict intentions, and collaborate on tasks, making us effective at performing collaborative tasks such as assembling furniture, cooking meals, and cleaning the house. Robots, on the other hand, still struggle to anticipate human actions and preferences, which limits their ability to assist in collaborative tasks. The challenge of robots understanding human goals, desires, and beliefs: The ability to understand human goals, desires, and beliefs is known as "theory of mind" and is a crucial...
