Robots Beyond Fiction: Shaping the Future of Science

 

By Aroa Mascaraque León

From the graceful yet unsettling machines of Metropolis (1927) to the helpful companions in Star Wars and the cautionary tales of The Terminator, cinema has shaped how we picture robotics—sometimes as loyal assistants, sometimes as existential threats. For decades, society has wrestled with a dual image: robots as both liberators from repetitive labor and symbols of technological overreach. This cultural narrative has created a fascination with the boundary between human creativity and machine precision.
In the real world, robotics has moved steadily from science fiction to science fact. Industrial robots have transformed manufacturing since the 20th century, welding and assembling with relentless consistency. Service robots clean floors, deliver parcels, and even assist in surgery. Unlike their cinematic counterparts, these machines are not characters but collaborators—extensions of our capacity to act with accuracy, repeatability, and endurance.
Now, robotics is entering the scientific laboratory. In materials research, repetitive tasks such as dipping samples, measuring corrosion, or cycling conditions can consume enormous amounts of time. By integrating robotic arms into these workflows, experiments once limited by human endurance can be multiplied many times over. This automation does not diminish the role of researchers; instead, it frees them from repetition and unlocks richer, more complex datasets.

Aroa Mascaraque León

Biomedical Engineer, M.Sc. Data Science & Engineering

Research Assistant at IMDEA Materials Institute and Ph.D. candidate in Materials Engineering. She works within the Accelerated Materials Discovery group, led by Dr. Maciej Haranczyk. Her multidisciplinary background bridges biomedical engineering and data science, with a research focus on automation and machine learning for accelerated materials discovery. She develops robotic workflows that generate high-throughput experimental data, enabling predictive models and new approaches in materials research.

Image of the month - September 2025

U-Factory robotic arm holding a 3D printed model of bone tissue
By Aroa Mascaraque León

One of our most recent experiments focuses on degradation studies using polymeric materials. Robotic systems automate the immersion of samples into controlled environments, allowing precise, repeatable cycles that generate large datasets over time. Machine learning then enters the picture, analyzing patterns that remain hidden at smaller scales. This approach is particularly valuable in the study of biomaterials, where understanding degradation and long-term stability is essential for applications such as implants or scaffolds. With robots generating the data and algorithms interpreting it, researchers can explore materials in ways that were previously unreachable.
These robotic initiatives are the result of a collaboration between DIGIMATER Project and the Robotics Laboratory of the Accelerated Materials Discovery group, led by Dr. Maciej Haranczyk, where Aroa Mascaraque León, contribute as a researcher.
Just as films once dreamed of robots shaping the future, today we witness them shaping science itself. No longer confined to fiction, robotics in the lab represents a new chapter-one where mechanical precision and human imagination work together to accelerate discovery.

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Effect of surface modification on 3D-printed NiTi alloys for cardiovascular applications