From Answerability to Embodiment: A Boundary Discipline for Robotics and Automated Infrastructure

Ideas developed for human judgment and institutional accountability are often pulled too quickly into robotics, soft robotics, neuromorphic engineering, and embodied intelligence. This paper develops a boundary discipline for making such transfers without confusing philosophical evaluation with engineering mechanism. The proposal begins by separating three claim levels: established engineering mechanism, functional analogy, and exploratory extension. Morphological computation, embodied intelligence, soft robotics, cybernetics, runtime assurance, and human factors already provide mature vocabularies for how bodies, materials, controllers, and environments distribute computation and control. A cross-domain evaluative vocabulary is useful only where it adds a distinct question: whether relevant external evidence can change the control pathway; whether a local patch prevents recurrence; where maintenance and verification costs are carried; and whether apparent robustness depends on hidden human labor or deferred failure. Human-specific concepts such as witness, shame, fixed worth, and existential burden should not be transferred literally to machines. The paper therefore translates them, where needed, into established engineering terms such as observability, fault detection, corrigibility, runtime intervention, maintenance burden, traceability, and assurance. Four application domains are examined: embodied robotics, clinical software, logistics, and automated public systems. The central contribution is methodological. A philosophical analysis can help identify what engineers should measure or make interruptible, but it does not become a theory of morphology, hardware, or control simply because the questions travel.