In a recent paper published in Science Advancesby Krauhausen and co-authors,1the Gkoupidenis’ research group from the Max Planck Institute for Polymer Research demonstrated the use of organic neuromorphic electronics to drive a small robot through a maze. Using organic electrochemical transistors (OECTs), the authors designed a neuromorphic circuit and demonstrated energy efficient and reliable learning capabilities enabled by the mixed ionic-electronic conduction of the organic semiconductor. The work demonstrates unprecedented capabilities in organic neuromorphics toward effective local and decentralized learning, which is attractive for smart robotics.