Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Spatial routines for a simulated speech-controlled vehicle
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Towards robust human robot collaboration in industrial environments
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Towards industrial robots with human-like moral responsibilities
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
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In this paper we present a new simplified natural language that makes use of spatial relations between the objects in scene to navigate an industrial robot for simple pick and place applications. Developing easy to use, intuitive interfaces is crucial to introduce robotic automation to many small medium sized enterprises (SMEs). Due to their continuously changing product lines, reprogramming costs are far more higher than installation costs. In order to hide the complexities of robot programming we propose a natural language where the use can control and jog the robot based on reference objects in the scene. We used Gaussian kernels to represent spatial regions, such as left or above. Finally we present some dialogues between the user and robot to demonstrate the usefulness of the proposed system.