SwarmJS: Swarm Robotics Simulation on the Web
Bibliographic record
Abstract
SwarmJS is a web-based simulation platform developed to prototype, benchmark, and showcase controller algorithms for multi-robot systems. There are a number of existing robot simulators, but only a few which target multi-robot systems. Those that do target multi-robot systems make use of complex software frameworks that can make them difficult to install and challenging for beginners to use. We address this gap by developing a simple and flexible simulator as a web application written in JavaScript, making it immediately accessible without the need for any installation or local configuration process. Users can interact with the robots and write control code directly in the browser. SwarmJS is tailored towards swarms of mobile robots operating in the plane and engaged in tasks such as aggregation, collision avoidance, object clustering, object sorting and planar construction. In this paper we present the motivation and design for SwarmJS and showcase its features on the tasks mentioned above.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".