Researchers at the University of Zagreb (Croatia) and Karlsruhe Institute of Technology have recently developed a human intention estimation algorithm based on theory of mind (ToM) principles. Its called ToM.
To enhance security, the warehouse safety system devised by the researchers plans a robot’s path so that it does not clash with that of human workers.
For it to work safely, it needs to know where the human operator is going, particularly if he is not heading to a previously agreed location entered in the system.
Puljiz and his colleagues observed during a year the motion of individual human workers in warehouse environments and validated them with respect to their goal locations, using an approach called generalized Voronoi diagram-based planning.
« We observe the worker’s motion and validate it with respect to the goal locations using generalized Voronoi diagram-based path planning. These observations are then processed by the hidden Markov model framework, which estimates worker intentions on line and is capable of handling changing environments.
To evaluate the new model’s effectiveness, IPR Lab at Karlsruhe Institute of Technology carried out intention estimation experiments in a small warehouse test environment, using Microsoft Hololens AR-glasses.