2026
A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World
RA-L 2026
Large language models (LLMs) have emerged as the dominant paradigm for robotic task planning using natural language instructions. However, trained on general internet data, LLMs are not inherently aligned with the embodiment, skill sets, and limitations of real-world robotic systems. Inspired by the