Robot Team Exploration with Communication Restrictions
Authors: Elizabeth Jensen
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We show, through proofs and experiments, that the algorithm will allow the team of robots to fully explore the environment and maintain the necessary communication to return the information to the search and rescue team waiting outside. One set of simulations was run using a cave-like environment that would require ten robots for blanket coverage. Figure 1 shows the average time to fully explore the area using five and eight robots. Our experiments include simulation, which uses colors to represent the messages, and physical robot experiments using both simulated chemical signals (in collaboration with Dr. Ken Sugawara from Tohoku Gakuin University, whose experimental setup is shown in Figure 2) and using cameras and LEDs. |
| Researcher Affiliation | Academia | Elizabeth A. Jensen Dept of Computer Science & Eng., Univ. of Minnesota 4-192 Keller Hall, 200 Union Street SE, Minneapolis, MN 55455 ejensen@cs.umn.edu |
| Pseudocode | Yes | Algorithm 1 Rolling Dispersion Algorithm |
| Open Source Code | No | The paper does not provide any explicit statements about releasing source code or links to a code repository for the methodology described. |
| Open Datasets | No | The paper mentions simulations in a "cave-like environment" but does not refer to a publicly available dataset by name, nor does it provide a link, DOI, or formal citation for any dataset used. |
| Dataset Splits | No | The paper mentions conducting simulations and experiments but does not provide specific details on dataset splits (e.g., percentages, sample counts, or predefined standard splits with citations) for training, validation, or testing. |
| Hardware Specification | No | The paper mentions "physical robot experiments" and an "experimental setup" with "overhead cameras" and "screen below the robots" (Figure 2), but it does not specify concrete hardware details like exact CPU/GPU models, robot models, camera specifications, or memory amounts. |
| Software Dependencies | No | The paper does not provide specific software dependencies, libraries, or solvers with version numbers (e.g., Python 3.8, PyTorch 1.9). |
| Experiment Setup | No | The paper mentions running simulations "using five and eight robots" in a "cave environment" but does not provide specific experimental setup details such as hyperparameters, optimizer settings, or other system-level configuration parameters. |