AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules
Summary: arXiv:2604.07039v1 Announce Type: cross
Robotic systems have been a pivotal area of research in the field of artificial intelligence, yet they often struggle with the challenge of organizing intelligence, capabilities, and execution in a cohesive manner. Traditional approaches typically involve either monolithic architectures that tightly couple skills or modular systems that decompose functionalities into loosely coordinated modules or multiple agents. This situation often leads to a lack of a coherent model of identity and control authority in robotic systems.
To address these challenges, researchers propose a new paradigm for robotic architecture: AEROS (Agent Execution Runtime Operating System). This framework posits that a robot should be conceptualized as a single persistent intelligent subject, with its capabilities extended through the use of installable packages known as Embodied Capability Modules (ECMs).
Key Features of AEROS
- Single Persistent Agent: AEROS defines each robot as a single entity, simplifying the management of identity and control.
- Embodied Capability Modules (ECMs): ECMs encapsulate executable skills, models, and tools, allowing for modular and flexible capability enhancement.
- Policy-Separated Runtime: Execution constraints and safety guarantees are enforced through a policy-separated runtime, promoting system safety and reliability.
- Modular Extensibility: The architecture facilitates the addition of new capabilities without disrupting existing functionalities.
Evaluation and Performance
The researchers conducted a thorough evaluation of the AEROS framework using a reference implementation in the PyBullet simulation environment, specifically with a Franka Panda 7-DOF manipulator. The evaluation was comprehensive, encompassing eight distinct experiments that included:
- Re-planning
- Failure recovery
- Policy enforcement
- Baseline comparison
- Cross-task generality
- ECM hot-swapping
- Ablation studies
- Failure boundary analysis
Across over 100 randomized trials per condition, AEROS demonstrated remarkable efficacy. The results showed a 100% task success rate across three tasks, significantly outperforming baseline systems. For instance:
- BehaviorTree.CPP-style and ProgPrompt-style achieved success rates of 92-93%.
- Flat pipeline systems had a success rate of 67-73%.
Additionally, the policy layer within AEROS successfully blocked all invalid actions, yielding zero false acceptances. The runtime benefits of the system were found to generalize across different tasks without requiring task-specific tuning. Furthermore, ECMs were able to load at runtime with a post-swap success rate of 100%, showcasing the system’s reliability and adaptability.
Conclusion
AEROS presents a significant advancement in the design of robotic systems by promoting a unified architectural framework that integrates intelligence, capabilities, and execution. Through the implementation of Embodied Capability Modules, it offers a flexible, safe, and efficient approach to robotic task execution. As research in this area continues, AEROS could pave the way for more sophisticated and autonomous robotic applications in various domains.
