Memristor Circuits for Colloidal Robotics: Temporal Access to Memory, Sensing, and Actuation

Micrometer‐scale robots capable of navigating enclosed spaces and remote locations are approaching reality. However, true autonomy remains an open challenge despite substantial progress made with externally supervised and manipulated systems. To accelerate the development of autonomous microrobots, alternatives to conventional top‐down lithography are sought. Such additive technologies like printing, coating, and colloidal self‐assembly allow for rapid prototyping and access to novel materials, such as polymers, bio‐ and nanomaterials. On the basis of recent experimental findings that memristive networks can be rapidly printed and lifted off as electronic microparticles, an alternative design paradigm is introduced based on arrays of two‐terminal memristive elements, which enables real‐time use of memory, sensing, and actuation in microrobots. Several memristor‐based designs are validated, each representing a key building block toward robotic autonomy: tracking elapsed time, timestamping a rare event, continuously cataloguing time‐indexed data, and accessing the collected information for a feedback‐controlled response as in a robotic glucose‐responsive insulin. The computational results establish an actionable framework for microrobotic design—tasks normally requiring complex circuits can now be achieved with self‐assembled and printed memristor arrays within microparticles. A memristor‐based microrobotic circuit is introduced, which enables autonomous real‐time use of on‐board memory, sensing, and actuation. The robust design is validated against representative tasks requiring autonomy: tracking time, timestamping a rare event, cataloguing time‐indexed data, and accessing the collected information for feedback‐controlled response. The computational work enables self‐assembled and printed memristor arrays to perform tasks usually requiring complex circuits.