Cassandra McCord
Papers
2
Total Citations
44
H-Index
2
About
Cassandra McCord’s research lies at the intersection of multi-agent systems, distributed robotics, and autonomous aerial vehicle coordination. Her work addresses a fundamental challenge in swarm robotics: how to achieve complex, coordinated formations without relying on continuous communication or centralized control. In her highly cited 2019 paper, “Distributed Progressive Formation Control for Multi-Agent Systems,” she introduced a scalable framework for deploying UAVs in both 2D and 3D environments, validated through ROS/Gazebo simulations with the RotorS platform—a contribution that has garnered 24 citations for its practical, open-source approach. Her follow-up work, “Communication-free and Index-free Distributed Formation Control Algorithm for Multi-robot Systems” (20 citations), broke new ground by eliminating the need for inter-agent communication or predefined roles, enabling truly decentralized pattern formation for applications ranging from surveillance to post-disaster rescue. These contributions have made McCord a notable voice in distributed robotics, offering elegant solutions that maximize surface coverage and operational resilience. Her work is essential reading for researchers exploring scalable, robust coordination in multi-robot teams.
Research Focus
Key Achievements
Top Papers
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