Industrial Robotics

Published:

Industrial Robotics

Industrial robotics research focuses on the development, control, and safe deployment of robots in manufacturing and industrial settings. This area explores the software aspects of robotic systems to enable flexible, autonomous, and efficient operations. Information from the manufacturing process is used to improve the control and optimization algorithms for robot operation.

Key topics:

  • Robot kinematics and dynamics
  • Motion planning and trajectory optimization
  • Collaborative robotics for manufacturing processes
  • Vision systems and sensor integration for robots

Projects

  • Safe learning for robot arms (manipulation of deformable objects)
  • Collaborative robots (cobots) for flexible manufacturing
  • Robotic 3D printing toolkit

Use Case: Robotic Winding for Additive Manufacturing

Industrial Use Case →

Funding

  • SNF-Innosuisse Bridge Discovery
  • Rieter Stiftungsprofessur

Publications

  • Iterative learning control with mismatch compensation for residual vibration suppression in delta robots: M. Wu et al. M Wu, A Rupenyan, B Corves, Nonlinear Dynamics, 1-21

  • Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks Deepak Ingole, Valentin Bhend, Shiva Ganesh Murali, Oliver Dobrich, Alisa Rupenyan (under review) https://arxiv.org/abs/2512.13170

  • Differentiable Material Point Method for the Control of Deformable Objects Diego Bolliger, Gabriele Fadini, Markus Bambach, Alisa Rupenyan (under review) https://arxiv.org/abs/2512.13214