Papers
20
Total Citations
267
H-Index
9
About
Thomas Roddelkopf is a researcher specializing in life science automation, robotics, and environmental sensing, with a particular focus on integrating advanced robotic systems and IoT technologies into laboratory workflows. His most influential work, "Analytical Measurements and Efficient Process Generation Using a Dual-Arm Robot Equipped with Electronic Pipettes" (2018, 47 citations), demonstrated how dual-arm robotic platforms could bridge critical automation gaps in analytical measurement processes, a domain long overshadowed by high-throughput screening solutions. Building on this foundation, Roddelkopf has made significant contributions to occupational safety in automated laboratories, developing IoT-based gas sensor nodes capable of detecting hazardous volatile compounds in environments where robots and humans collaborate — work that has collectively garnered over 65 citations across multiple studies. His research on metal oxide (MOX) sensors, indoor air quality monitoring, and portable ambient sensing nodes reflects a sustained commitment to making automated laboratory environments safer and smarter. Beyond sensing, Roddelkopf has advanced workflow management systems enabling mobile robots to coordinate seamlessly within complex life science infrastructures. With over 215 total citations spanning instrumentation, robotics, and safety systems, his interdisciplinary contributions are shaping the future of intelligent, human-centered laboratory automation.
Research Focus
Key Achievements
Top Papers
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- 9Ambient Monitoring Portable Sensor Node for Robot-Based Applications13 citations · 2024
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