使用众包学习机器人命令的词法分析
Learning Lexical Entries for Robotic Commands using Crowdsourcing
摘要：
自然语言中的机器人命令通常包含语义相似但句法不同的各种空间描述。由于自然语言表达的高度灵活性，将这种句法变体映射到机器人可以理解的语义概念是具有挑战性的。为了解决这个问题，我们使用众包收集机器人导航和操作任务的命令。我们进一步定义了机器人语言，并使用生成式机器翻译模型将机器人命令从自然语言翻译成机器人语言。本文的主要目的是利用众包平台模拟人与机器人之间的交互过程，并探讨利用释义将自然语言翻译成机器人语言的可能性。
英文摘要：
Robotic commands in natural language usually contain various spatial descriptions that are semantically similar but syntactically different. Mapping such syntactic variants into semantic concepts that can be understood by robots is challenging due to the high flexibility of natural language expressions. To tackle this problem, we collect robotic commands for navigation and manipulation tasks using crowdsourcing. We further define a robot language and use a generative machine translation model to translate robotic commands from natural language to robot language. The main purpose of this paper is to simulate the interaction process between human and robots using crowdsourcing platforms, and investigate the possibility of translating natural language to robot language with paraphrases.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
