Robotic Dance Modeling Methods

Abstract

Any art performance and dance, in particular, are examples of extraordinary complex dynamic systems, perhaps a synchronized human–robot dance being the most complex even in comparison with good examples of complex systems such as climate, ecosystems, economics, organizations, social structures, and socio-political systems. A dance is an art performance that involves dedicated movements, music, and intentional interpersonal synchronization, while observing the movements and interactions among herds, teams, and dancers. A choreography, which repeats the same movements synchronized with music is not enough for dance. Good use of space, differentiation and then reattaining equivalence, and dynamism are needed. Robots’ ability to respond like humans in these realms is one of the goals of this research. Two different modeling techniques are proposed for industrial robot dance modelling: Modified Laban Notation and Synchronized Petri Nets. Modified Laban Notation for Industrial Manipulators (MLIR) is designed and applied by means of a special interface. The input parameters of the manipulator are calculated using the data related to motion, which has been made available at the interface. The torque values are calculated and applied. Second method proposed analyses to scrutinize music objects and the mathematical infrastructure. Based on the obtained data, a specific dance choreography conceptualization has been created by means of Petri nets. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.