Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints
Authors: Dolev Mutzari, Yonatan Aumann, Sarit Kraus
AAAI 2025 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Preliminary Experimental Results. We tested the performance of our approach (with some heuristics simplifications) on floor plans of several large hotel buildings, and obtained consistent improvement in traversal time compared to the current state-of-the-art approach by (Sinay et al. 2017). |
| Researcher Affiliation | Academia | Dolev Mutzari, Yonatan Aumann, Sarit Kraus Department of Computer Science, Bar Ilan University, Ramat Gan, Israel EMAIL, EMAIL, EMAIL |
| Pseudocode | Yes | Algorithm 1: Update All Tables |
| Open Source Code | No | The paper does not provide concrete access to source code. It only references an extended version of the paper on arXiv, which is not a code repository. |
| Open Datasets | No | The paper mentions testing 'on floor plans of several large hotel buildings' but does not provide any access information, citation, or indication that these datasets are publicly available. |
| Dataset Splits | No | The paper mentions using 'floor plans of several large hotel buildings' for preliminary experimental results, but does not provide any specific information regarding dataset splits (e.g., percentages, sample counts, or methodology). |
| Hardware Specification | No | The paper mentions 'Preliminary Experimental Results' but does not provide any specific details about the hardware used to run these experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers. It only mentions 'some heuristics simplifications' in the context of preliminary experimental results. |
| Experiment Setup | No | The paper states that the approach was tested 'with some heuristics simplifications' in the 'Preliminary Experimental Results' section, but does not provide any specific experimental setup details such as hyperparameter values, training configurations, or system-level settings. |