Redefining colonoscopy through soft robotics and
AI-enabled design
A single-use, soft-robotic GI platform designed to improve patient comfort, clinician ergonomics, and the efficiency of colorectal cancer care.
Colonoscopy is a critical diagnostic and screening tool, yet it remains constrained by patient discomfort, operator dependency, and high procedural burden.
These limitations impact adoption, scalability, and the long-term sustainability of GI screening programmes.
This platform is the outcome of translational research conducted at the University of Dundee, building on long-term work in soft robotics, medical devices, and clinician-led design.
The technology has been developed to address fundamental limitations of conventional colonoscopy, with a strong focus on patient experience, clinical usability, and real-world deployment.
Soft-robotic architecture
A self-propelled soft-robotic device designed to drastically reduce the forces applied to the bowel wall.
By moving through the colon by controlled compliance rather than pushing, the system significantly reduces pain and patient discomfort.
AI-enabled autonomy
Artificial intelligence is integrated to support autonomous navigation and decision support, with the aim of improving procedural consistency and overall clinical outcomes.
Single-use by design
Designed as a single-use device to eliminate reprocessing and sterilisation burden.
The architecture supports recyclable materials, enabling a more sustainable and environmentally responsible approach to endoscopy.
Designed for seamless integration
The platform is designed to integrate into existing endoscopy workflows with minimal disruption, supporting safe adoption across screening and diagnostic pathways.
