RxR：为人工智能导航的未来指明方向

Machine Learning (ML) is revolutionizing industries across the globe. ML can build self-driving cars, improve healthcare, and power virtual assistants. For AI to reach its full potential, however, we need to create systems that can follow instructions from humans in natural language.

The RxR (Read and Execute) benchmark evaluates an AI system's ability to understand navigation instructions in multiple languages and execute them accurately. This benchmark is a critical step towards creating AI systems that can assist us in a wide range of tasks, from giving directions to helping us navigate unfamiliar environments.

The Challenges of Natural Language Navigation

Teaching an AI system to follow navigation instructions is a complex task for several reasons:

• Language is ambiguous . A single instruction can be interpreted in multiple ways. For example, the instruction "turn left" could mean turning left at the next intersection or turning left at the end of the block.
• Navigation is context-dependent . The meaning of an instruction depends on the current location of the AI system. For example, the instruction "go straight" could mean walking straight ahead or following a road that curves slightly to the right.
• The world is constantly changing . AI systems need to be able to adapt to changes in the environment, such as road closures or new buildings.

The RxR benchmark addresses these challenges by providing a dataset of navigation instructions in multiple languages and a set of evaluation metrics to measure the accuracy of AI systems. The benchmark also provides a platform for researchers to compare their systems and develop new algorithms for navigation.

The Benefits of the RxR Benchmark

The RxR benchmark has several benefits, including:

• It provides a common evaluation platform for AI systems . This allows researchers to compare the performance of their systems on a level playing field.
• It accelerates the development of new algorithms for navigation . By providing a dataset of navigation instructions, researchers can develop and test new algorithms without having to collect their own data.
• It helps to identify the challenges of natural language navigation . By analyzing the errors made by AI systems on the RxR benchmark, researchers can identify the areas where AI systems need to be improved.

The Future of Navigation

The RxR benchmark is a critical step towards creating AI systems that can follow navigation instructions from humans in natural language. As AI systems continue to improve, they will become increasingly helpful in a wide range of tasks, from giving directions to helping us navigate unfamiliar environments.