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About

Peter Slaets is a versatile robotics and engineering researcher whose work spans industrial robot control, energy optimization, indoor positioning systems, and robotics education. With a career built on bridging theoretical innovation and practical application, Slaets has made notable contributions across several interconnected domains. His 2014 paper on energy-efficient trajectories for an ABB industrial robot (108 citations) introduced a systematic, non-invasive methodology for on-site energy optimization — a significant advance for sustainable manufacturing. His work on open embedded hardware and software architectures further demonstrates a commitment to accessible, open-source robot control systems. Slaets has also shaped robotics education, with his 2019 paper on the TurtleBot 3 as an educational platform becoming his most-cited work at 125 citations, reflecting broad pedagogical influence. A recurring theme in his research is visible light positioning (VLP), where he has advanced calibration techniques using mobile robots and Kalman filtering. More recently, his investigations into Robot-CT imaging geometry estimation reveal an expanding interest in precision sensing and medical or industrial imaging. Across disciplines, Slaets exemplifies the applied engineering researcher — solving real-world problems through rigorous methodology and innovative system design.