Johannes Schrimpf

About

Johannes Schrimpf is a robotics researcher whose work spans two deeply interconnected domains: advanced robot control algorithms and the automation of complex manufacturing processes. He is perhaps best known for his foundational contributions to the automation of industrial sewing, a notoriously challenging problem due to the unpredictable behavior of flexible textile materials. His multi-robot sewing cell research — spanning system architecture, real-time control, velocity coordination, and material handling — represents one of the most comprehensive explorations of this problem in the literature, accumulating over 150 citations across a series of influential papers. Schrimpf has also made significant theoretical and practical contributions to robot kinematics, particularly through his work on set-based task control within the singularity-robust multiple task-priority inverse kinematics framework, which has garnered 100 citations since its 2016 publication and addresses the critical challenge of managing competing robotic tasks in a stable, prioritized manner. His early work on open real-time robot controller frameworks further demonstrates a commitment to accessible, flexible robotics infrastructure. Collectively, Schrimpf's research bridges rigorous control theory with hands-on experimental robotics, making him a valuable reference for students and engineers working at the intersection of manipulation, automation, and real-time systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Set-Based Tasks within the Singularity-Robust Multiple Task-Priority Inverse Kinematics Framework: General Formulation, Stability Analysis, and Experimental Results

   100 citations · 2016
2. 2
   Experiments towards automated sewing with a multi-robot system

   55 citations · 2012
3. 3
   Real-time analysis of a multi-robot sewing cell

   26 citations · 2013
4. 4
   Real-time system integration in a multi-robot sewing cell

   24 citations · 2012
5. 5
   Velocity coordination and corner matching in a multi-robot sewing cell

   21 citations · 2014
6. 6
   Model-based feed-forward and setpoint generation in a multi-robot sewing cell

   17 citations · 2015
7. 7
   Open Real-Time Robot Controller Framework

   16 citations · 2010
8. 8
   Fast dual-arm manipulation using variable admittance control: Implementation and experimental results

   14 citations · 2014
9. 9
   Experimental results for set-based control within the singularity-robust multiple task-priority inverse kinematics framework

   14 citations · 2015
10. 10
    Work Flow, Material Handling and Initial Part Positioning in a Multi-Robot Sewing Cell

    12 citations · 2015

Key Collaborators

Contact & Links