Patricia D. M. Plentz
Papers
12
Total Citations
79
H-Index
6
About
Patricia D. M. Plentz is a researcher whose work sits at the intersection of autonomous mobile robotics, multi-robot systems, and smart logistics. Her research primarily addresses the practical challenges of deploying robot fleets in real-world environments, with particular emphasis on task allocation, energy management, and autonomous navigation. Plentz has made significant contributions to warehouse automation, developing novel approaches to multi-robot task allocation (MRTA) using techniques such as island model genetic algorithms, Voronoi-based allocators, and multi-constrained optimization strategies — work that collectively demonstrates her commitment to improving efficiency in Robotic Mobile Fulfillment Systems. Her 2021 and 2022 papers on smart warehouses have together garnered over 20 citations, underscoring their relevance to the rapidly growing logistics robotics field. Beyond warehousing, Plentz has explored socially impactful applications of robotics, including UV germicidal disinfection robots during the COVID-19 pandemic and IoT-integrated robots for sustainable agricultural sanitation. Her earlier work on autonomous recharging and semantic trajectory navigation reflects a foundational interest in robot independence and intelligent decision-making. With a growing body of work spanning over a decade, Plentz represents an important voice in applied robotics research with real-world humanitarian and industrial significance.
Research Focus
Key Achievements
Top Papers
- 1A fuzzy approach to the autonomous recharging problem for mobile robots12 citations · 2016
- 2Multi-robot Task Allocation Using Island Model Genetic Algorithm11 citations · 2021
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- 5Multi-Constrained Voronoi-Based Task Allocator for Smart-Warehouses7 citations · 2021
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- 9Efficient Multi-Constrained Task Allocation in Smart Warehouses4 citations · 2022
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