Abstract
General-purpose robots designed to switch between diverse roles, such as a warehouse mover and a domestic caregiver, may lack a formal, computer-implemented framework for contextual safety verification and for building an overall safe case. This can result in a disconnect between high-level commands and the robot's physical capabilities. A safety and alignment framework is provided that can employ a cascading logic chain, acting as a physical-semantic link, to validate actions before execution. This process can evaluate a command against structured definitions of the robot's operational design domain, its assigned functional role, its specific hardware embodiment, its environment and role in the environment, and a current user's authorization level. By creating a formal and auditable connection between semantic intent and physical reality, the framework can help promote behavior that is safe and context-appropriate. This may allow a single platform to transition more securely between different operational roles. This framework is designed to scale for Artificial General Intelligence (AGI) implementations solving physical world interaction problems across diverse embodiments, environments, and roles.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Garikapti, Divya, "AGI Robotics Safety and Alignment Framework", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10344