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Published on: June 9, 2022
Receptogenesis in a Vascularized Robotic Embodiment
Kadri-Ann Pankratov1, Leonid Zinatullin1, Hans Priks1
1Institute of Technology, University of Tartu, Tartu, Estonia.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|August 7, 2026
Summary
Robots can now grow new hardware during operation using fluidics and UV light to synthesize sensors. This allows for continuous physical adaptation, moving beyond modular designs for enhanced robotic functionality.
Area of Science:
- Robotics and Materials Science
- Biomimetic Engineering
Background:
- Robotic systems traditionally rely on modular components for adaptation.
- Continuous physical adaptation through in-body hardware synthesis remains a significant challenge.
- Biological systems exhibit remarkable adaptability through mass redistribution and functional restructuring.
Purpose of the Study:
- To demonstrate a proof-of-concept for ex novo hardware generation in robotic systems.
- To develop a method for on-demand sensor construction within a robotic body.
- To explore fluidics-based material synthesis for enhanced robotic adaptability.
Main Methods:
- A vascularized robotic composite was designed for programmable material synthesis.
- Fluidic transport of precursors was coordinated with localized UV irradiation for in situ photopolymerization.
- Receptogenesis, the on-demand construction of sensors, was achieved via UV-sensitive polypyrrole in PETG.
Main Results:
- Successful in situ photopolymerization reconstructed the robotic vasculature from the inside out.
- A novel sensing modality was established, validated by a decrease in electrical impedance.
- The synthesized sensor enabled real-time control of a robotic demonstrator's wing flapping.
Conclusions:
- This work presents a materials basis for ex novo hardware generation in vascularized composites.
- The fluidics-driven approach offers a new paradigm for robotic physical adaptation.
- This represents a step towards situated robots capable of adapting to environmental cues.

