Iterative Repair of Social Robot Programs from Implicit User Feedback via Bayesian Inference
Creating natural and autonomous interactions with social robots requires rich, multi-modal sensory input from the user. Writing interactive robot programs that make use of this input can demand tedious and error-prone tuning of program parameters, such as tuning thresholds on noisy sensory streams f…