π€ AI Summary
This work proposes a vasculature-inspired robotic architecture that overcomes the limitations of traditional robots, which cannot dynamically generate new hardware during operation to adapt to environmental changes. Drawing inspiration from biological circulatory systems, the robot internally transports photosensitive precursors through fluidic channels and, upon external light stimulation, performs in situ photopolymerization to fabricate polypyrrole-based sensors. Integrated electrochemical impedance sensing enables real-time perception. This approach represents the first demonstration of a robot βgrowingβ functional sensing hardware on-demand during task execution, transcending the constraints of conventional modular reconfiguration. In a moth-inspired flapping-wing robot, the system successfully synthesized UV-sensitive sensors as needed and employed closed-loop control to dynamically adjust wing-flapping behavior, significantly enhancing environmental adaptability.
π Abstract
Equipping robotic systems with the capacity to generate $\textit{ex novo}$ hardware during operation extends control of physical adaptability. Unlike modular systems that rely on discrete component integration pre- or post-deployment, we envision the possibility that physical adaptation and development emerge from dynamic material restructuring to shape the body's intrinsic functions. Drawing inspiration from circulatory systems that redistribute mass and function in biological organisms, we utilize fluidics to restructure the material interface, a capability currently unpaired in robotics. Here, we realize this synthetic growth capability through a vascularized robotic composite designed for programmable material synthesis, demonstrated via receptogenesis - the on-demand construction of sensors from internal fluid reserves based on environmental cues. By coordinating the fluidic transport of precursors with external localized UV irradiation, we drive an $\textit{in situ}$ photopolymerization that chemically reconstructs the vasculature from the inside out. This reaction converts precursors with photolatent initiator into a solid dispersion of UV-sensitive polypyrrole, establishing a sensing modality validated by a characteristic decrease in electrical impedance. The newly synthesized sensor closed a control loop to regulate wing flapping in a moth-inspired robotic demonstrator. This physical update increased the robot's capability in real time. This work establishes a materials-based framework for constitutive evolution, enabling robots to physically grow the hardware needed to support emerging behaviors in a complex environment; for example, suggesting a pathway toward autonomous systems capable of generating specialized features, such as neurovascular systems in situated robotics.