NSF AI grant $1.04M: a soft robot mimicking the human eye to keep the endoscope's view clear (University of Tennessee)
NSF awarded about $1.04 million for an AI-enabled soft robot that mimics the eye's protective functions (blinking, tear flow, corneal sensing) to autonomously keep a laparoscopic camera's view clear during minimally invasive surgery. It integrates soft actuation, programmable fluidics, and real-time AI control, with applications also in space, disaster response, and industry.
Grant overview (primary data)
- Award amount$1,038,318
- RecipientUniversity of Tennessee Knoxville（TN）
- ProgramFRR-Foundationl Rsrch Robotics
- Period2025-10-01 〜 2028-09-30
- FunderU.S. National Science Foundation (NSF) / NSF
Key points
- A miniature AI soft robot mimicking the eye's protection (blinking, tears, corneal sensing)
- Addresses laparoscopic lens contamination (smoke, fluids, condensation, debris) impairing the view
- Soft actuation + programmable fluidics + real-time AI control for autonomous cleaning and vision enhancement
- Knowledge extends to robotic perception in space exploration, disaster response, and industry
- NSF Foundational Research in Robotics (FRR); ~$1.04M; University of Tennessee, Knoxville; 2025–2028
The U.S. National Science Foundation (NSF) awarded about $1.04 million ($1,038,318) to the University of Tennessee, Knoxville's "AI Embodied Biomimetic Soft Robot for Superior Vision in Minimally Invasive Surgery" (NSF Award 2503725; program: FRR — Foundational Research in Robotics; October 2025–September 2028).
Per the abstract, this foundational robotics project develops a miniature, AI-enhanced soft robotic system that mimics key protective functions of the human eye — blinking, tear flow, and corneal sensing — to autonomously maintain visual clarity during minimally invasive surgeries.
In these procedures, surgeons rely entirely on laparoscopic cameras for visual guidance, but lens contamination from smoke, fluids, condensation, and debris frequently impairs visibility. Such obstructions disrupt the procedure and require repeated manual or instrument-based interventions to restore clarity. The system integrates soft actuation, programmable fluidics, and real-time AI control to enable autonomous lens cleaning, adaptive airflow shaping, and vision enhancement within a compact robotic platform.
The abstract further notes that beyond this medical need, the knowledge gained will enable applications in robotic perception for space exploration, disaster response, and advanced industrial automation, and that the project contributes to STEM education.
Why it matters: robotic surgery tends to evoke robots that "cut and stitch," but this work focuses on the humble yet essential task of supporting "seeing." Its originality lies in mimicking the eye — a refined biological system (biomimetic) — and combining soft materials, fluidics, and AI to keep the view clear automatically. Autonomous clarity means fewer interruptions, letting surgeons focus on the procedure. Keeping a vision sensor healthy in dirty environments is a challenge shared by robots in space, disasters, and factories, making this medical-rooted research broadly extensible.
Why it matters
Foundational research supporting the "seeing" side of surgical robotics, with an original mix of biomimetics, soft robotics, and AI. Keeping vision clear in dirty environments is shared by space, disaster, and industrial robots, so the medical work is broadly extensible — a practical bridge between robotics and AI.
FAQ
What is "biomimetic"?
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Sources (primary)
Source: NSF Award Search (U.S. National Science Foundation, public domain). Amounts are the obligated amount. For privacy, we do not handle principal investigator names.
- NSF Award (original, official)
- NSF Award ID: 2503725