Dr. Ralph Lange :::

Dr. Ralph Lange

Ralph Lange

Head of the Robotics Research Portfolio
and Chief Expert for Robotic Systems and SW Engineering
at Bosch Research

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Welcome, I am pleased that you are visiting my tiny website! I am head of the robotics research portfolio at Bosch Research. It is truly a great privilege for me to work with so many brilliant robotics researchers from Bosch locations around the world. In addition, as Chief Expert for Robotic Systems and Software Engineering, I support the Bosch business units on a wide variety of systems and software engineering issues in robotics and, in particular, on the use of the Robot Operating System (ROS) as well as on open-source contributions to ROS and on inner source collaborations in robotics. Before joining Bosch, I worked as a software developer for TRUMPF Machine Tools on CAD/CAM. I obtained my PhD in computer science in 2010 from the University of Stuttgart.

If you have any questions, please do not hesitate to contact me:

Selected Recent Publications

Kaiwalya Belsare, Antonio Cuadros Rodriguez, Pablo Garrido Sánchez, Juanjo Hierro, Tomasz Kołcon, Ralph Lange (corresponding author), Ingo Lütkebohle, Alexandre Malki, Jaime Martin Losa, Francisco Melendez, Maria Merlan Rodriguez, Arne Nordmann, Jan Staschulat, and Julian von Mendel: Micro-ROS. In: Anis Koubaa (ed.) Robot Operating System (ROS): The Complete Reference (Volume 7), Springer, pp. 3–55, 2023. (Online since 2 February 2023.)
Ralph Lange, Silvio Traversaro, Oliver Lenord, and Christian Bertsch: Integrating the Functional Mock-Up Interface with ROS and Gazebo. In: Anis Koubaa (ed.) Robot Operating System (ROS): The Complete Reference (Volume 5), Springer, pp. 187–231, 2021. (Online since 22 August 2020.)
Jon Arrizabalaga, Niels van Duijkeren, Markus Ryll, and Ralph Lange: A caster-wheel-aware MPC-based motion planner for mobile robotics. In Proc. of 20th Int'l Conf. on Advanced Robotics (ICAR 2021), pp. 613–618. Virtual event. Dec 2021. IEEE.
Tobias Blass, Arne Hamann, Ralph Lange, Dirk Ziegenbein, and Björn B. Brandenburg: Automatic Latency Management for ROS 2: Benefits, Challenges, and Open Problems. In Proc. of 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2021). Virtual event. May 2021. IEEE.

See publications for a complete list.