Multi-Robot Mapping and Navigation: A Holistic Approach for Collaborative Exploration
  • Architected a scalable multi-robot collaborative SLAM system, enabling rapid exploration and mapping of large, unknown environments (e.g., warehouses, disaster sites).
  • Enabled multi-robot mapping by establishing efficient wireless communication among robots and off-board computers and implementing shared SLAM system ensuring scalability and reliability.
  • Utilized ROS2, DDS (Data Distribution Service) and/or Zenoh ensuring reliable, reducing latency by 25% and packet loss by 50% at high frequencies.
  • Mitigated interference and minimized traffic by employing distinct domain IDs and namespaces and implementing Domain Bridge preventing data sharing bottleneck and ensuring stable operation on resource-constrained platforms.
  • [Work resulted in a Best Paper Award at the ISICN (2025) conference]


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