Papers
17
Total Citations
592
H-Index
11
About
Joseph Polden is a leading researcher in industrial robotics and advanced manufacturing, with a primary focus on wire arc additive manufacturing (WAAM) and robotic automation. His seminal work, "Recent progress on programming methods for industrial robots," has garnered 263 citations, establishing a foundational framework for modern robotic programming. Polden’s major contributions include pioneering model predictive control for layer width in WAAM (110 citations), which significantly enhances precision in metallic part fabrication, and developing practical fabrication strategies for wire structures (31 citations). He has also advanced automated offline programming for complex welding systems and multi-directional WAAM, integrating process planning algorithms to improve efficiency. Notably, his model-based coverage motion planning for industrial 3D shape inspection (22 citations) and sampling-based methods for redundant robotic systems (21 citations) have set new standards in inspection automation. Polden’s work on low-force robotic friction stir processing for Ni-Al bronze alloys demonstrates his versatility in material science. With over 500 total citations across his top papers, Polden’s research bridges theoretical innovation and practical application, making him a pivotal figure in the evolution of intelligent robotic systems for manufacturing and inspection.
Research Focus
Key Achievements
Top Papers
- 1Recent progress on programming methods for industrial robots263 citations · 2011
- 2Model predictive control of layer width in wire arc additive manufacturing110 citations · 2020
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- 8Offline Programming for a Complex Welding System Using DELMIA Automation20 citations · 2011
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- 10Adaptive Partial Shortcuts: Path Optimization for Industrial Robotics12 citations · 2016