An Exploration of Collision-based Enemy Morphology Generation
The paper explores novel methods for generating enemy morphologies in video games using player collision information. It highlights the lack of prior research in this area compared to other procedural content generation topics. The authors present three different approaches, each demonstrating strengths and weaknesses while outperforming a traditional evolutionary baseline.
- ▪The research focuses on generating enemy morphologies for video games, an area that has seen little prior exploration.
- ▪Three novel approaches based on player collision information were developed and tested.
- ▪All approaches showed equivalent or better performance than an evolutionary baseline adapted from robotics.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2606.02832 |
| Publication time | Wed, 03 Jun 2026 00:00:00 -0400 |
| Retrieval time | 2026-06-03T04:11:55.408Z |
| Last seen | 2026-06-03T04:11:55.408Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 8DO1jwNRalLD |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Artificial Intelligence arXiv:2606.02832 (cs) [Submitted on 1 Jun 2026] Title:An Exploration of Collision-based Enemy Morphology Generation Authors:Johor Jara Gonzalez, Matthew Guzdial View a PDF of the paper titled An Exploration of Collision-based Enemy Morphology Generation, by Johor Jara Gonzalez and 1 other authors View PDF HTML (experimental) Abstract:Despite a great deal of prior research into Procedural Content Generation (PCG), relatively little prior work has explored generating enemies for video games. In particular, there is almost no work on generating enemy morphologies, the basic body plan or collision information for in-game enemies, despite the existence of related morphology generation work in robotics.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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