Erik van Meijl
Papers
1
Total Citations
9
H-Index
1
About
Erik van Meijl is a researcher whose work lies at the intersection of robotics, artificial intelligence, and knowledge representation, with a particular focus on enabling service robots to operate autonomously in human environments. His most notable contribution comes through his involvement in the RoboEarth project, where he developed methods for integrating planning and execution using hierarchical action representations. This work, which has garnered 9 citations, addresses a fundamental challenge in robotics: how to make robots share and reuse task knowledge across different platforms and environments. By creating structured "action recipes" that describe everyday tasks like household chores, van Meijl helped lay the groundwork for a globally accessible robotic knowledge base. His research bridges the gap between high-level task planning and low-level robot execution, particularly for ROS-enabled systems. This approach has significant implications for the future of service robotics, where robots must adapt to dynamic, unstructured settings. Van Meijl’s contributions are especially relevant for students and researchers interested in cognitive robotics, human-robot interaction, and scalable knowledge sharing in multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1