ROEVO Accepted by T-RO

Jun 27, 2025·
Mingrui Liu
Xingxing Zuo
Xingxing Zuo
,
Renlang Huang
,
Minglei Zhao
,
Jiming Chen
,
Liang Li
· 1 min read

Our work ROEVO has been accepted by IEEE Transactions on Robotics (T-RO)! ROEVO introduces a robust visual odometry system using a novel “organized edges” feature representation for RGB-D cameras. By transforming disjoint edge pixels into sequentialized clusters, the method effectively retains textural and structural information and enables edge-level association across multiple frames via a co-visibility graph, achieving robust performance in diverse environments.

Xingxing Zuo
Authors
Assistant Professor & Lab Director
Leading the Robotics Cognition and Learning (RCL) Group at MBZUAI, focusing on robot perception, 3D vision, and embodied AI.