Readability Control

Readability control in text and robot motion focuses on making information easier to understand and interpret for diverse audiences. Current research employs various large language models (LLMs) like GPT and BART, along with reinforcement learning and genetic algorithms, to adjust text complexity and robot movement for improved comprehension and safety. This work is significant for enhancing human-computer interaction, improving accessibility of scientific information, and ensuring safe collaboration between humans and robots in complex environments. The development of robust evaluation metrics and datasets is also a key area of ongoing research.