Multi-Robot Distributed Perception

NSFC Project – collaborative perception for robot clusters

Overview

This project builds a multi-robot distributed perception system that enables a cluster of mobile robots to perceive and localize collaboratively in complex environments.

Role

  • System Architect

Funding Source

  • National Natural Science Foundation of China (NSFC) Project

Contributions

  • Designed and implemented a cluster experimental platform using multiple DashGo robots for large-scale validation.
  • Developed a distributed communication interface in ROS, supporting real-time sharing of visual and pose information across robots.
  • Proposed a co-visibility–based collaborative visual localization algorithm, significantly improving robustness under occlusion and viewpoint changes.

Techniques & Tools

  • Multi-robot systems and distributed architecture
  • ROS-based communication middleware
  • Visual SLAM and co-visibility graph reasoning

Key methods and results from this project are described in the following papers (Jiang et al., 2024; Jiang et al., 2025).

References

2025

  1. muslam.gif
    Uncertainty-Driven 3D Gaussian Splatting for Robust Real-Time RGB-D SLAM
    Peifeng Jiang, Hong Liu, Xia Li, and 1 more author
    2025
    Submitted to IEEE Transactions on Automation Science and Engineering. Under review.

2024

  1. tambridge.jpeg
    TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM
    Peifeng Jiang, Hong Liu, Xia Li, and 3 more authors
    2024