Recognizing Orientation Slip in Human Demonstrations
This addresses a specific issue in robotics for improving constraint identification from human demonstrations, though it appears incremental as it focuses on a previously overlooked aspect.
The paper tackles the problem of recognizing orientation slip in human demonstrations of constrained object manipulations, presenting a method that detects constraint types, parameters, and slip properties using only end effector observations, with a study confirming its detection capability.
Manipulations of a constrained object often use a non-rigid grasp that allows the object to rotate relative to the end effector. This orientation slip strategy is often present in natural human demonstrations, yet it is generally overlooked in methods to identify constraints from such demonstrations. In this paper, we present a method to model and recognize prehensile orientation slip in human demonstrations of constrained interactions. Using only observations of an end effector, we can detect the type of constraint, parameters of the constraint, and orientation slip properties. Our method uses a novel hierarchical model selection method that is informed by multiple origins of physics-based evidence. A study with eight participants shows that orientation slip occurs in natural demonstrations and confirms that it can be detected by our method.