Jordi Spranger

Papers

Total Citations

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About

Jordi Spranger is a robotics researcher whose work centers on human-robot interaction, remote robot operation, and the democratization of robot task training. His most notable contribution, the 2018 paper "Human-Machine Interface for Remote Training of Robot Tasks," addresses a fundamental bottleneck in both industrial and research robotics: the requirement for experienced operators to be physically present near the hardware they control. By developing interfaces that enable remote training, Spranger's work opens pathways for applications as diverse as massive open online robotics courses, crowd-sourced task training, and large-scale robot farms for machine learning research. This contribution has garnered 9 citations, reflecting its relevance to a growing community interested in scalable and accessible robotics infrastructure. Spranger's research sits at the intersection of teleoperation, interface design, and practical robot deployment, tackling real-world constraints that limit how broadly robotic systems can be developed and maintained. For students and researchers exploring human-robot collaboration or remote robotics systems, Spranger's work offers a valuable foundation for understanding how geographic and logistical barriers to robot training can be systematically overcome.