Reactive Constrained Model Predictive Control for Redundant Mobile Manipulators

  • Giovanni Buizza Avanzini
  • Andrea Maria Zanchettin
  • Paolo Rocco
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 302)


Research interest in redundant mobile manipulators has been constantly increasing during the last decade. The opportunities offered by the redundant degrees of freedom, together with the exploitation of the mobile base, would allow such robots to complete their main task while complying with additional tasks or constraints. These features would make it easier for robots to work in a partly unstructured and dynamic environment, thus increasing production flexibility. In this work, a reactive constraint-based control strategy for mobile manipulators is proposed, which accomplishes a positioning task while simultaneously avoiding unknown and unpredictable obstacles. Differently from other approaches, the trajectory is computed exclusively online, by exploiting the MPC method, without the need of a pre-planned path. Experimental verification on a KUKA youBot shows the applicability of the approach.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Giovanni Buizza Avanzini
    • 1
  • Andrea Maria Zanchettin
    • 1
  • Paolo Rocco
    • 1
  1. 1.Politecnico di Milano, Dipartimento di ElettronicaInformazione e BioingegneriaMilanoItaly

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