mlsanityData to 7 Oct 2026

Online automatic code generation for robot swarms: LLMs and self-organizing hierarchy

arXiv 2510.04774 ↗First posted 6 Oct 2025cs.RO cs.AI cs.MAcited by 2

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Abstract (arXiv)

Our recently introduced self-organizing nervous system (SoNS) provides robot swarms with 1) ease of behavior design and 2) global estimation of the swarm configuration and its collective environment, facilitating the implementation of online automatic code generation for robot swarms. In a demonstration with 6 real robots and simulation trials with >30 robots, we show that when a SoNS-enhanced robot swarm gets stuck, it can automatically solicit and run code generated by an external LLM on the fly, completing its mission with an 85% success rate.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 3 of its 8 references that are in the map. First posted on arXiv 6 Oct 2025.

Builds on

3 of 8 references.

References · 3

  1. 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 6,146
  2. 2024LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMscited by 12
  3. 2024Self-organizing Nervous Systems for Robot Swarmscited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Probing the Prefill: Detecting Code Vulnerabilities via Latent Activationscited by 0
  2. 2026Auto-HSI: Personalized human control of a robot swarm on demand by using LLMs for online automatic code generationcited by 0