Oliver Koch

About

Oliver Koch is a researcher at the intersection of intelligent automation and multi-robot systems, with key contributions in robotic process automation (RPA), knowledge management, and trajectory coordination for articulated vehicles. His work on "Intelligent Robotic Process Automation" explores how cognitive technologies can enhance traditional RPA, while his feasibility study on combining graph databases with RPA (3 citations) demonstrates a novel approach to improving project knowledge management in complex, high-risk environments. In robotics, Koch's most cited paper (3 citations) addresses the critical challenge of spatiotemporal trajectory coordination for articulated vehicles in shared workspaces, using prioritized planning to generate collision-free velocity profiles. This work is notable for its integration of ROS, Docker, and Gazebo co-simulation, providing a practical framework for automating multiple robots. With a growing citation impact, Koch's research bridges theoretical advances and real-world applications, offering valuable insights for students and researchers in automation, robotics, and knowledge systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Prioritized Planning for Spatiotemporal Trajectory Coordination of Articulated Vehicles and Co-Simulation with ROS, Docker and Gazebo

   3 citations · 2022
2. 2
   Graph databases and robotic process automation: achieving improvement in project knowledge management

   3 citations · 2020
3. 3
   Intelligent Robotic Process Automation

   2 citations · 2020

Key Collaborators

Contact & Links