Shiqiang Du
Papers
1
Total Citations
3
H-Index
1
About
Shiqiang Du is a researcher in robotics and autonomous systems, with a primary focus on simultaneous localization and mapping (SLAM) algorithms. His most-cited work, "Adaptive SLAM algorithm with sampling based on state uncertainty" (2011), introduces an innovative approach that dynamically adjusts the number of particles in Rao-Blackwellized particle filters using Kullback-Leibler distance (KLD) sampling and Markov chain Monte Carlo (MCMC) move steps. This adaptive method significantly improves computational efficiency and accuracy by responding to real-time changes in robot state uncertainty, a critical advancement for long-term autonomous navigation in complex environments. While his citation count remains modest, this work represents an important contribution to adaptive filtering techniques in SLAM, addressing fundamental trade-offs between computational cost and estimation precision. Du's research sits at the intersection of probabilistic robotics and sensor fusion, offering practical solutions for deploying SLAM systems in resource-constrained platforms. His work continues to inform developments in adaptive sampling strategies for mobile robot localization and mapping.
Research Focus
Key Achievements
Top Papers
- 1Adaptive SLAM algorithm with sampling based on state uncertainty3 citations · 2011