InCoRo: In-Context Learning for Robotics Control with Feedback Loops presents a pioneering way to apply in-context learning within robotics controllers, ensuring adaptability in changing environments.

• InCoRo system uses LLMs for robust reasoning in dynamic settings involving robotic units.
• A continuous feedback loop adapts robot execution commands based on the environment.
• Surpassing previous achievements, improved success rates establish new benchmarks.

The innovation of using LLMs as a basis for robotic control, coupled with the traditional feedback mechanism, positions in-context learning as a promising avenue in robotics. The system’s ability to adjust to dynamic conditions offers a groundbreaking step towards creating intelligent, adaptable robotics systems.