Papers
3
Total Citations
36
H-Index
3
About
Haggi Do is a leading researcher in multi-robot systems, specializing in robust collaboration, heterogeneous mission planning, and autonomous navigation under uncertainty. His major contributions advance the practical deployment of robot teams in complex, real-world environments. In his most cited work, "Robust Loop Closure Method for Multi-Robot Map Fusion by Integration of Consistency and Data Similarity" (2020, 27 citations), Do addresses the critical challenge of creating global maps when relative poses among robots are unknown, enabling efficient multi-robot collaboration. He further pioneers heterogeneous system coordination in "Heterogeneous multi-robot system mission planning with cooperative replenishment through data-driven rendezvous point selection" (2024, 6 citations), introducing innovative methods for prolonged missions involving diverse robots like quadcopters. His research on "Robust Task Allocation for Multiple Cooperative Robotic Vehicles Considering Node Position Uncertainty" (2022, 3 citations) tackles the practical issue of uncertainty in robot positions during task assignment. Do’s work is foundational for autonomous systems requiring resilience, scalability, and efficiency, making him a key figure in advancing multi-robot cooperation for applications ranging from search-and-rescue to environmental monitoring.
Research Focus
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