How to Foster More Meaningful Worker-Robot Relations

What if construction robots did more than automate tasks? A new paper by NCCR DFAB researchers calls for worker-centric, ethically aware collaboration models, drawing on the Joint Cognitive Systems framework—originally developed for high-risk fields like aviation. This approach treats humans and machines as co-agents, sharing action, decision-making, and adaptation, and redefines robots as cognitive partners that support and amplify human expertise on construction sites.

Tie a Knot: Human and Robot cooperatively assemble Spatial Structures. © Daniela Mitterberger (Gramazio Kohler Research + TU Munich)

Rethinking Human–Robot Collaboration in Construction

Despite ongoing technological advances, construction robotics remains underused. This is largely due to a mismatch between existing robotic models, often based on factory automation, and the unpredictable, complex nature of real-world building environments. To address this gap, NCCR DFAB researcher Angelina Kozhevnikova and NCCR DFAB Principal Investigator Professor Daniel Hall from TU Delft apply the JCS framework to the construction context.

Rather than designing collaboration around control panels or interfaces, Joint Cognitive Systems (JCS) focuses on shared function. It sees humans and machines as one integrated system, working together toward a common goal. In this model, the machine is not simply a tool executing human commands. Instead, both human and robot adapt, decide, and respond to changing conditions as co-agents, participants in a joint cognitive process. This represents a fundamental shift. Traditional models of Human–Robot Interaction often focus on how humans operate or supervise machines. JCS asks a different question: what can the system do together? This is especially relevant in construction, where no two tasks are the same, and constant adjustments are part of the job.

Shared Roles, real-time Adaptation

Take the example of scaffolding. In a JCS-informed system, that task would be divided into subtasks, some handled by humans, others by robots, depending on who is best equipped in the moment. A robot might lift and position heavy materials, while a human ensures quality, makes adjustments, or takes over if the situation changes. Crucially, this division is flexible. The system allows tasks to shift dynamically based on each party’s strengths and real-time conditions. This idea draws on the Law of Requisite Variety, a core principle from systems theory: to manage complexity, a system must be equally complex. No robot can handle a construction site alone. But a team made up of humans and machines, working as co-agents, can share the complexity and respond to it more effectively. Rather than aiming to remove the human from the loop, this approach amplifies human strengths—placing expertise, adaptability, and judgment at the core of how robotic systems are designed.

Communication, Empowerment, and Ethical Design

For robots and humans to function as a team, clear and flexible communication is essential. On a construction site, this goes well beyond buttons and screens. The researchers propose using multiple communication channels, such as voice commands, visual cues, or wearable devices, to ensure mutual awareness and coordination. But technical communication is only part of the story. The framework also places strong emphasis on the human experience. Interviews with workers in timber prefabrication reveal what many value most: variety in their tasks, teamwork, and the satisfaction of building something real. These insights are not seen as side notes, but as design priorities.

The proposed system reflects an ethically aware design philosophy- one that ensures technology supports people, rather than replacing them. That means keeping workers in control, involving them in how systems are developed, and allowing them to grow their skills in tandem with technological change. Robots might take on repetitive or physically demanding tasks, while workers focus on quality, problem-solving, and creative decision-making. By combining smart communication with respect for worker values, the model places people at the centre of innovation.

Worker-first Vision in the AEC Sector

This research contributes a clear, worker-first vision to the field of digital fabrication, one in which automation and ethical design go hand in hand. By rethinking the human–robot relationship through the lens of co-agency and shared cognition, the framework offers a practical path forward. It points to a future where human expertise is not sidelined, but strengthened, enabling more adaptive, meaningful, and resilient collaboration on construction sites.

This article is based on the paper “From Interface to Co-Agency: Towards a Systemic and Worker-Centric Framework for Human–Robot Collaboration in Construction” by NCCR DFAB researcher Angelina Kozhevnikova and NCCR DFAB Principal Investigator Daniel Hall. The authors conduct their research at the Faculty of Architecture and the Built Environment, Design & Construction Management, at Delft University of Technology in the Netherlands.