Edge-Assisted Multi-Robot Visual-Inertial SLAM with Efficient Communication
The integration of cloud computing and edge computing is an effective way to achieve global consistent and real-time multi-robot Simultaneous Localization and Mapping (SLAM). Cloud computing effectively solves the problem of limited computing, communication and storage capacity of terminal equipment. However, limited bandwidth and extremely long communication links between terminal devices and the cloud result in serious performance degradation of multi-robot SLAM systems. To reduce the computational cost of feature tracking and improve the real-time performance of the robot, a lightweight SLAM method of optical flow tracking based on pyramid IMU prediction is proposed. On this basis, a c...
| Authors | Xin Liu, Shuhuan Wen, Jing Zhao et al. |
|---|---|
| Primary category | cs.RO |
| Published | 11 March 2026 |
| Last updated at source | 11 March 2026 |
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