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About

Nobby Stevens is a researcher specializing in indoor positioning systems, with a particular focus on visible light positioning (VLP) — an emerging alternative to traditional radio frequency-based localization techniques. His work addresses fundamental challenges in deploying practical VLP systems, most notably the complex calibration procedures required before such systems can operate effectively in real-world environments. Stevens has made notable contributions to automating and streamlining VLP calibration, exploring innovative approaches such as mobile robot-assisted calibration to reduce the manual effort traditionally involved. His 2019 paper on automated calibration has garnered 21 citations, making it his most influential work, while his 2021 follow-up on robot-assisted calibration has accumulated 18 citations — together reflecting growing community interest in practical VLP deployment. Beyond calibration, Stevens has advanced the technical foundations of VLP itself, developing unmodulated positioning methods that eliminate the need for additional transmitter hardware. By applying the Iterated Extended Kalman Filter to this problem, he demonstrated that accurate indoor positioning could be achieved without light intensity modulation, lowering hardware barriers significantly. His body of work collectively represents a meaningful push toward accessible, deployable visible light positioning systems for next-generation indoor navigation.