Robotic capabilities framework: A boundary object and intermediate-level knowledge artifact for co-designing robotic processes

TL;DR

This paper introduces a transdisciplinary framework called the robotic capabilities framework, which facilitates collaborative design of human-robot interactions by focusing on high-level capabilities and bridging technical and experiential knowledge.

Contribution

The paper presents a novel boundary object that supports interdisciplinary collaboration and guides the design of human-robot shared tasks in workplaces.

Findings

Framework effectively describes existing robots in diverse settings.

Engages stakeholders in meaningful dialogue about task delegation.

Supports more just and collaborative future work environments.

Abstract

As robots become more adaptable, responsive, and capable of interacting with humans, the design of effective human-robot collaboration becomes critical. Yet, this design process is typically led by monodisciplinary approaches, often overlooking interdisciplinary knowledge and the experiential knowledge of workers who will ultimately share tasks with these systems. To address this gap, we introduce the robotic capabilities framework, a vocabulary that enables transdisciplinary collaborations to meaningfully shape the future of work when robotic systems are integrated into the workplace. Rather than focusing on the internal workings of robots, the framework centers discussion on high-level capabilities, supporting dialogue around which elements of a task should remain human-led and which can be delegated to robots. We developed the framework through reflexive and iterative processes, and applied it in two distinct settings: by engaging roboticists in describing existing commercial robots using its vocabulary, and through a design activity with students working on robotics-related projects. The framework emerges as an intermediate-level knowledge artifact and a boundary object that bridges technical and experiential domains, guiding designers, empowering workers, and contributing to more just and collaborative futures of work.