Environmental resilience via morphological diversity within machines

2026-08-03

AI Summary

Current robotic systems lack the adaptability and resilience of biological organisms when facing unforeseen disturbances in novel environments. This work proposes a novel multi-agent collective architecture that integrates morphologically diverse sub-agents through learnable physical connectors and incorporates a pretraining mechanism based on internal physical perturbations. This approach enhances the system’s robustness to external environmental changes without requiring post-deployment fine-tuning. The study provides the first evidence that internally generated physical adversarial dynamics—such as those induced by inter-agent connections—can effectively improve environmental resilience. It further demonstrates that both the number of sub-agents and their morphological diversity positively contribute to behavioral stability. Experimental results show that the proposed method significantly boosts the collective’s adaptive capacity and task performance in previously unseen environments.

Abstract

Organisms contain diverse, sensorimotor parts across size scales and rapidly adapt to new environments, while machines contain only inert materials at smaller scales and struggle with surprise. We hypothesize that this agents-within-agents quality of organisms may aid their resilience: increasing experiences with internal physical adversity may pre-train organisms and machines to handle external adversity, such as encounters with new environments. Not only has this hypothesis not yet been articulated, mechanisms enabling this phenomenon have yet to be proposed. Here we show a mechanism by which this can occur: we found that physical connectors, in learning to restore behavior to previously independent, morphologically diverse agents they disrupted by tethering them together, trigger and tame sufficiently diverse disruptions that later encounters with new environments trigger disruptions that fall within this manageable range, enabling the collective to continue behaving properly without any additional learning or adaptation. Further, we found that building collectives from more agents, or more diverse agents, further increases the collective's resilience to new environments. This suggests that not just taming but intentionally creating internal physical adversity may indeed prepare organisms for external adversity, and could do so for machines, if they were built from smaller machines.

Problem

• environmental resilience
• morphological diversity
• physical adversity
• machine adaptation
• collective behavior

Innovation

• morphological diversity
• environmental resilience
• internal physical adversity
• collective behavior
• pre-training by disruption