Quantitative Path-Planning from Qualitative Language Instructions
Authors: Daqing Yi
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | The framework is being tested with a Turtlebot in an environment with landmarks. |
| Researcher Affiliation | Academia | Daqing Yi Department of Computer Science, Brigham Young University, Provo, Utah daqing.yi@byu.edu |
| Pseudocode | No | The paper describes algorithms but does not provide pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating that its source code is publicly available. |
| Open Datasets | No | The paper mentions testing with a Turtlebot in an environment but does not specify any publicly available datasets used for training or otherwise provide access information for a dataset. |
| Dataset Splits | No | The paper does not specify any training/test/validation dataset splits. |
| Hardware Specification | No | The paper mentions using a "Turtlebot" but does not specify any detailed hardware components like CPU, GPU, or memory used for experiments. |
| Software Dependencies | No | The paper does not list specific software dependencies with version numbers. |
| Experiment Setup | No | The paper describes its algorithms and approach but does not provide specific experimental setup details such as hyperparameters, learning rates, or other configuration settings. |