Multi Layered Autonomy and AI Ecologies in Robotic Art Installations

Baoyang Chen, Xian Xu, Huamin Qu·June 03, 2025

Summary

The article by BaoYang Chen, Xian Xu, and Huamin Qu discusses multi-layered autonomy and AI ecologies in robotic art installations. The authors present Symbiosis of Agents, a large-scale AI-driven robotic art installation that integrates emergent behaviors from self-organized AI robotic ecologies. The work emphasizes the balance between machine agency and artist authorship, featuring dynamic interactions among robotic arms, quadruped robots, their environment, and audience. The project employs a three-tiered "faith system" guiding the agents at micro, mesoscopic, and macro levels, enabling organic evolution of behaviors in response to environmental cues and audience presence. The work challenges prevailing notions of agency and authorship, exemplifying the convergence of cybernetic principles, robotic art experimentation, and conceptual-art rule-making.

Introduction
Background
Overview of robotic art installations
Emergence of AI-driven robotic art
Objective
To explore the integration of emergent behaviors in AI robotic ecologies within large-scale robotic art installations
Method
Conceptual Framework
Overview of multi-layered autonomy
AI ecologies in robotic art
Symbiosis of Agents: A Case Study
Description of the installation
Key components: robotic arms, quadruped robots, environment, and audience
Faith System
Detailed explanation of the three-tiered "faith system"
Micro, mesoscopic, and macro levels of agent guidance
Dynamic Interactions
Mechanisms of dynamic interactions among robotic elements
Response to environmental cues and audience presence
Results
Emergent Behaviors
Examples of emergent behaviors in the installation
Balance between Machine Agency and Artist Authorship
Analysis of the balance achieved in the project
Discussion
Challenges and Innovations
Discussion on the challenges faced in the project
Innovations in the convergence of cybernetic principles, robotic art, and conceptual art
Implications
Implications for future robotic art installations
Impact on the understanding of agency and authorship in AI-driven art
Conclusion
Summary of Findings
Future Directions
Potential areas for further research
Expected advancements in multi-layered autonomy and AI ecologies in robotic art
Advanced features