2025
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation With Large Language Models
Niccolò Turcato, Matteo Iovino, Aris I. Synodinos, Alberto Dalla Libera, Ruggero Carli, Pietro Falco
RA-L 2025
Recent advancements in Large Language Models (LLMs) and Visual Language Models (VLMs) have significantly impacted robotics, enabling high-level semantic motion planning applications. Reinforcement Learning (RL), a complementary paradigm, enables agents to autonomously optimize complex behaviors thro