Jianwen Jiang

University of Science and Technology of China

Papers

Total Citations

H-Index

About

Jianwen Jiang is a researcher specializing in robotics, state estimation, and simultaneous localization and mapping (SLAM), with a particular focus on set-membership approaches for bounded-error systems. His most notable contribution is the development of a box particle filtering method for SLAM, which addresses the challenge of estimating robot states and feature positions under bounded uncertainty. In his 2018 paper on this topic, which has garnered 9 citations, Jiang introduced an innovative technique that leverages interval constraint propagation to reduce the size of the boxes, effectively decreasing estimation uncertainty. This work is significant for its practical application in environments where traditional probabilistic methods may fail due to non-Gaussian noise or unknown error distributions. By advancing set-membership filtering for SLAM, Jiang has provided a robust alternative for autonomous navigation in challenging conditions. His research is particularly valuable for robotics engineers and researchers working on localization and mapping in real-world scenarios with bounded errors.