Path-Following Control with Path and Orientation Snap-In

Christian Hartl-Nesic, Elias Pritzi, Andreas Kugi

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


Robots need to be as simple to use as tools in a workshop and allow non-experts to program, modify and execute tasks. In particular for repetitive tasks in high-mix/low-volume production, robotic support and physical human-robot interaction (pHRI) help to significantly increase productivity. In path-following control (PFC), the geometric description of the path is decoupled from the time evolution of the robot's end-effector along the path. PFC is inherently suitable for pHRI since path progress can be derived from the interaction with the human. In this work, an extension to multi-path PFC is proposed, which allows smooth transitions between the paths initiated by the human. Additionally, two pHRI modes called path snap-in and orientation snap-in are proposed, which use attractive forces to snap the robot end-effector onto a path or a predefined orientation. Moreover, the stability properties of PFC are inherited and the method is applicable to linear, nonlinear and self-intersecting paths. The proposed pHRI modes are validated on an experimental drilling task for teach-in (using orientation snap-in) and execution (using path snap-in) with the kinematically redundant collaborative robot Kuka Lbr iiwa 14 R820.
TitelProceedings of 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
PublikationsstatusVeröffentlicht - Okt. 2023
Veranstaltung2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Detroit, USA/Vereinigte Staaten
Dauer: 1 Okt. 20235 Okt. 2023


Konferenz2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Land/GebietUSA/Vereinigte Staaten

Research Field

  • Complex Dynamical Systems


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