Abulikemu Abuduweili

Carnegie Mellon University, Peking University

Papers

Total Citations

H-Index

About

Abulikemu Abuduweili is a researcher working at the intersection of autonomous robotics, human-robot collaboration, and spatial perception. His work spans two complementary domains: enabling robots to navigate and localize themselves in complex real-world environments, and empowering them to work safely and intelligently alongside humans in dynamic settings. His most cited contribution, a comprehensive survey on place recognition (2022, 17 citations), synthesizes two decades of progress in a field critical to long-term robot navigation, particularly for loop-closure detection and re-localization in SLAM systems. This work has become a valuable reference for researchers entering autonomous navigation. Equally significant is his research on human-robot collaboration, where he has developed methods for predicting human intentions and trajectories to enable proactive, safe co-assembly tasks. His 2019 work introduced adaptable prediction frameworks that account for the stochasticity and heterogeneity inherent in human behavior, laying important groundwork for subsequent studies. His 2023 paper further advanced this line of inquiry by integrating robust safe control strategies into collaborative manufacturing scenarios. Abuduweili's research collectively pushes toward robots that are not only spatially aware but genuinely responsive to human partners — a crucial step toward real-world autonomous systems.