Robots that use language
This article surveys the use of natural language in robotics from a robotics point of view. To
use human language, robots must map words to aspects of the physical world, mediated by …
use human language, robots must map words to aspects of the physical world, mediated by …
A survey on integration of large language models with intelligent robots
In recent years, the integration of large language models (LLMs) has revolutionized the field
of robotics, enabling robots to communicate, understand, and reason with human-like …
of robotics, enabling robots to communicate, understand, and reason with human-like …
Translating natural language to planning goals with large-language models
Recent large language models (LLMs) have demonstrated remarkable performance on a
variety of natural language processing (NLP) tasks, leading to intense excitement about their …
variety of natural language processing (NLP) tasks, leading to intense excitement about their …
Autotamp: Autoregressive task and motion planning with llms as translators and checkers
For effective human-robot interaction, robots need to understand, plan, and execute
complex, long-horizon tasks described by natural language. Recent advances in large …
complex, long-horizon tasks described by natural language. Recent advances in large …
Episodic transformer for vision-and-language navigation
Interaction and navigation defined by natural language instructions in dynamic
environments pose significant challenges for neural agents. This paper focuses on …
environments pose significant challenges for neural agents. This paper focuses on …
Language-conditioned imitation learning for robot manipulation tasks
Imitation learning is a popular approach for teaching motor skills to robots. However, most
approaches focus on extracting policy parameters from execution traces alone (ie, motion …
approaches focus on extracting policy parameters from execution traces alone (ie, motion …
A persistent spatial semantic representation for high-level natural language instruction execution
Natural language provides an accessible and expressive interface to specify long-term tasks
for robotic agents. However, non-experts are likely to specify such tasks with high-level …
for robotic agents. However, non-experts are likely to specify such tasks with high-level …
nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models
A rigorous formalization of desired system requirements is indispensable when performing
any verification task. This often limits the application of verification techniques, as writing …
any verification task. This often limits the application of verification techniques, as writing …
Plug in the safety chip: Enforcing constraints for llm-driven robot agents
Recent advancements in large language models (LLMs) have enabled a new research
domain, LLM agents, for solving robotics and planning tasks by leveraging the world …
domain, LLM agents, for solving robotics and planning tasks by leveraging the world …
Nl2tl: Transforming natural languages to temporal logics using large language models
Temporal Logic (TL) can be used to rigorously specify complex high-level specification for
systems in many engineering applications. The translation between natural language (NL) …
systems in many engineering applications. The translation between natural language (NL) …