William Holderbaum
Manchester Metropolitan University, University of Reading, University of Salford
Papers
15
Total Citations
116
H-Index
5
About
William Holderbaum is a prolific researcher whose work spans robotics, autonomous systems, and applied mathematics, with particular focus on energy efficiency, precision agriculture, and rehabilitation engineering. His most influential contribution, a comprehensive 2023 review on energy efficiency in autonomous mobile robots (AMRs), has garnered 36 citations and serves as a foundational reference for researchers navigating energy sources, locomotion optimization, and path planning in AMR systems. His interdisciplinary reach is further demonstrated through a highly cited 2025 study deploying YOLOv5-guided robotic systems for precision weed control in rice cultivation, earning 19 citations and showcasing real-world agricultural impact. Earlier theoretical work on planning rigid body motions using elastic curves (2008) reflects his mathematical foundations in robotics kinematics. More recently, Holderbaum has broadened his scope to include wearable rehabilitation technologies, soft tactile sensing, and bio-inspired navigation, while also contributing to industrial robot analytics and AI-driven scheduling optimization. His co-organization of the 2021 IMA Conference on Mathematics of Robotics underscores his leadership within the research community. Collectively, his body of work bridges rigorous mathematical theory with practical robotic applications, making him a versatile and influential figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1A review on energy efficiency in autonomous mobile robots36 citations · 2023
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- 3Planning rigid body motions using elastic curves16 citations · 2008
- 4Modified Nonlinear Hysteresis Approach for a Tactile Sensor8 citations · 2023
- 5Estimation of Visual Motion Parameters Used for Bio-inspired Navigation7 citations · 2013
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- 72nd IMA Conference on Mathematics of Robotics4 citations · 2021
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