Veit Mueller

Papers

Total Citations

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About

Veit Mueller’s research lies at the intersection of robotics, tactile sensing, and flexible automation, with a focus on enabling safer, more adaptive human-robot collaboration in industrial settings. His most-cited work, “Tactile Sensor Modules for Flexible Manipulation” (2018), emerged from the EU-funded ColRobot project, which developed mobile manipulators for collaborative kitting and assembly in automobile and satellite production. Mueller’s key contribution was demonstrating how tactile sensor arrays can complement machine vision for part detection and visual servoing, providing robots with the ability to handle delicate or occluded objects with greater precision and safety. Though his citation count (4) is modest, his work addresses a critical gap in industrial robotics: the need for robust, low-cost sensing in dynamic environments. Mueller’s research has practical implications for manufacturing efficiency and worker safety, and his tactile sensor modules have been integrated into prototype systems for real-world kitting tasks. His focus on flexible manipulation aligns with broader trends toward Industry 4.0, making his contributions valuable for students and researchers interested in sensor design, collaborative robotics, and the future of human-robot interaction.