Wen Lik

Papers

Total Citations

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About

Wen Lik is a robotics researcher whose work centers on egomotion estimation and visual perception for mobile robots, with a particular focus on real-time, lightweight solutions. His most cited paper, "A lightweight approach to 6-DOF plane-based egomotion estimation using inverse depth" (2011, 8 citations), presents a novel method for estimating the six-degree-of-freedom pose of a moving Microsoft Kinect. By leveraging an inverse depth formulation, this approach enables efficient, real-time self-localization and SLAM—critical capabilities for robots operating without pre-existing maps. Lik’s contribution here addresses a key challenge in robotics: achieving accurate, computationally affordable pose estimation using affordable sensors. Earlier, his work on "An Omnidirectional Vision System for Outdoor Mobile Robots" (2008, 2 citations) explored how wide-field cameras can enhance environmental perception for autonomous navigation in unstructured settings. Though his citation counts are modest, Lik’s research demonstrates a clear focus on practical, deployable systems that push the boundaries of what low-cost hardware can achieve. His work is particularly relevant for students and researchers interested in sensor fusion, real-time computer vision, and the intersection of hardware constraints with algorithmic innovation in mobile robotics.