Animals transform time-varying sensory inputs to motor outputs in order to generate locomotor patterns that align their movement toward favorable conditions. In the Drosophila melanogaster larva, navigation involves alternation of distinct behavioral modes: runs (forward movements by utilizing regular peristaltic contractions) and lateral head sweeps (head casts) followed by directed turns. In larval chemotaxis, turns are triggered by the integration of temporal changes in the intensity of the stimulus. The probability of run-to-turn transitions is higher when larva engages in a downward gradient. Upon completion of a turning maneuver, the direction of motion is typically realigned towards the odor gradient. Anatomical and molecular organization of the peripheral olfactory circuits, as well as the motor systems, are well studied in the Drosophila larva, but how the activity patterns of specific olfactory sensory neurons are transformed and relayed to the motor system is poorly understood. In our lab, we were able to develop computational models that can faithfully predict how olfactory sensory neurons encode complex time-varying sensory stimuli and how these neural responses are represented in the probability of run-to-turn transitions. However we are still devoid of the knowledge about the neural circuits connecting the sensory structures to the motor system. For this reason, we performed two independent unbiased loss-of-function screens using the Kyoto Collection (Drosophila Genetic Resource Center) and the Rubin Collection (Janelia Research Campus) of GAL4-driver lines, in order to identify neurons connecting the sensory input to motor output.By combining new collections of GAL4 drivers with functional analysis and high-resolution behavioral quantification, we are now in a position to undertake a holistic systematic reconstruction of the sensorimotor pathway and computational logic underlying larval navigational strategies.