Ruben Burger

Papers

Total Citations

151

H-Index

About

Ruben Burger is a robotics researcher whose work bridges the gap between autonomous manipulation and practical industrial automation. He is best known for leading Team Delft to victory in the Amazon Picking Challenge 2016, where his robot triumphed in both the Picking and Stowing competitions—a feat documented in his most-cited paper (127 citations). This achievement demonstrated robust solutions for pick-and-place operations in unstructured warehouse environments, directly impacting the future of logistics automation. Beyond competition success, Burger has made significant contributions to path planning, particularly through his work on automated tuning and configuration of planning algorithms (17 citations). His research addresses a critical bottleneck in robotics: the tedious manual adjustment of algorithm parameters, proposing methods to automatically optimize performance across diverse problems. By tackling both high-level system integration and low-level algorithmic efficiency, Burger’s work has influenced how robots perceive, plan, and act in complex, real-world settings. His achievements highlight a rare combination of competitive engineering excellence and rigorous algorithmic innovation, making him a notable figure in modern robotics.