Plantbot: Integrating Plant and Robot through LLM Modular Agent Networks
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908522039476224 |
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| author | Masumori, Atsushi Maruyama, Norihiro Doi, Itsuki johnsmith Sato, Hiroki Ikegami, Takashi |
| author_facet | Masumori, Atsushi Maruyama, Norihiro Doi, Itsuki johnsmith Sato, Hiroki Ikegami, Takashi |
| contents | We introduce Plantbot, a hybrid lifeform that connects a living plant with a mobile robot through a network of large language model (LLM) modules. Each module - responsible for sensing, vision, dialogue, or action - operates asynchronously and communicates via natural language, enabling seamless interaction across biological and artificial domains. This architecture leverages the capacity of LLMs to serve as hybrid interfaces, where natural language functions as a universal protocol, translating multimodal data (soil moisture, temperature, visual context) into linguistic messages that coordinate system behaviors. The integrated network transforms plant states into robotic actions, installing normativity essential for agency within the sensor-motor loop. By combining biological and robotic elements through LLM-mediated communication, Plantbot behaves as an embodied, adaptive agent capable of responding autonomously to environmental conditions. This approach suggests possibilities for a new model of artificial life, where decentralized, LLM modules coordination enable novel interactions between biological and artificial systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_05338 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Plantbot: Integrating Plant and Robot through LLM Modular Agent Networks Masumori, Atsushi Maruyama, Norihiro Doi, Itsuki johnsmith Sato, Hiroki Ikegami, Takashi Robotics Artificial Intelligence We introduce Plantbot, a hybrid lifeform that connects a living plant with a mobile robot through a network of large language model (LLM) modules. Each module - responsible for sensing, vision, dialogue, or action - operates asynchronously and communicates via natural language, enabling seamless interaction across biological and artificial domains. This architecture leverages the capacity of LLMs to serve as hybrid interfaces, where natural language functions as a universal protocol, translating multimodal data (soil moisture, temperature, visual context) into linguistic messages that coordinate system behaviors. The integrated network transforms plant states into robotic actions, installing normativity essential for agency within the sensor-motor loop. By combining biological and robotic elements through LLM-mediated communication, Plantbot behaves as an embodied, adaptive agent capable of responding autonomously to environmental conditions. This approach suggests possibilities for a new model of artificial life, where decentralized, LLM modules coordination enable novel interactions between biological and artificial systems. |
| title | Plantbot: Integrating Plant and Robot through LLM Modular Agent Networks |
| topic | Robotics Artificial Intelligence |
| url | https://arxiv.org/abs/2509.05338 |