Sonya Coleman

University of Ulster, Intel (United States)

Papers

53

Total Citations

841

H-Index

17

About

Sonya Coleman is a prominent robotics and artificial intelligence researcher whose work spans intelligent robotic systems, human-robot interaction, and autonomous cognitive architectures. Her research has made significant contributions to multi-robot coordination, visual servoing, and tactile sensing, with her most cited work — "A Distributed Task Allocation Algorithm for a Multi-Robot System in Healthcare Facilities" (2014, 107 citations) — demonstrating her commitment to applying robotics in real-world healthcare environments. Coleman has advanced the field of robot manipulation through adaptive fuzzy control frameworks, developing a distributed Takagi-Sugeno fuzzy PD controller for a 7-DOF robot manipulator that garnered 91 citations. Her investigations into tactile sensing for material recognition and reliable object handover reflect a deep interest in dexterous, human-aware robotics. She has also contributed to smart home technologies through cognitive robotic ecology frameworks and microservice-based cloud robotics, positioning her as a key figure in ambient assisted living research. More recently, her work on object-level SLAM with quadric landmark reconstruction signals a growing focus on robust autonomous perception. Collectively, Coleman's research portfolio reflects a career dedicated to bridging intelligent perception, adaptive control, and human-centred robotic systems.

Research Focus

Key Achievements

17
H-Index
53
Papers
841
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A Distributed Task Allocation Algorithm for a Multi-Robot System in Healthcare Facilities
107 citations · 2014
📈 Most Prolific Year: 2014 (5 Papers)
🤝 Key Collaborators: 79
🏛 Institutions: University of Ulster, Intel (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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