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Found 2 papers, 1 papers with code
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied agents.
ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning
Motivated by the substantial achievements observed in Large Language Models (LLMs) in the field of natural language processing, recent research has commenced investigations into the application of LLMs for complex, long-horizon sequential task planning challenges in robotics.
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