Sally McClean

About

Sally McClean is a leading researcher in wireless communications and cooperative robotics, with a focus on network coding and machine-to-machine (M2M) systems. Her work addresses critical challenges in multi-robot coordination, particularly the decoupling of path planning from connectivity optimization to enable robust cooperative sensing—a key enabler for autonomous UAVs and robotic teams. McClean’s research on multiple-source, multiple-destination relay channels with network coding has advanced the theoretical foundations for efficient data exchange in dynamic, decentralized networks. Her most-cited paper, “A Communication Model to Decouple the Path Planning and Connectivity Optimization and Support Cooperative Sensing” (2014, 9 citations), remains a foundational reference for integrating communication and mobility in multi-robot systems. More recently, she has expanded into healthcare robotics, co-authoring a 2025 study on robotic abdominal wall reconstruction that demonstrates early clinical and economic benefits in UK public health settings. McClean’s interdisciplinary impact—spanning theory, simulation, and real-world application—underscores her role in shaping next-generation autonomous networks and surgical robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   A Communication Model to Decouple the Path Planning and Connectivity Optimization and Support Cooperative Sensing

   9 citations · 2014
2. 2
   Introduction of Robotic Abdominal Wall Reconstruction Into a UK-Abdominal Wall Reconstruction Practice: Early Outcomes and Economic Analysis

   2 citations · 2025
3. 3
   Multiple‐source multiple‐destinations relay channels with network coding

   2 citations · 2013

Key Collaborators

Contact & Links