Gijs van der Hoorn

Papers

Total Citations

H-Index

About

Gijs van der Hoorn is a robotics software engineer and researcher whose work centers on robot control architectures, runtime adaptation, and software reliability in robotic systems — particularly within the Robot Operating System (ROS) ecosystem. His most influential contribution, the MROS framework, addresses a critical challenge in autonomous robotics: enabling complex control architectures to adapt dynamically at runtime in response to component failures and unpredictable environments. First presented in 2020 and expanded in a 2022 publication that garnered 18 citations, MROS represents a significant step toward more resilient autonomous systems. Van der Hoorn has also contributed to the intersection of robotics and manufacturing, exploring how product and manufacturing information can be leveraged to automate robot planning processes. His 2024 work on the ROBUST dataset — cataloguing 221 bugs in ROS — demonstrates a commitment to improving software assurance practices as robots take on increasingly safety-critical societal roles. Complementing this, his work on RxROS introduced reactive programming paradigms to robot development. Collectively, his research strengthens the foundation upon which reliable, adaptable autonomous robots are built, making his contributions particularly valuable to both academic researchers and industry practitioners working in robotic systems engineering.