Papers
17
Total Citations
334
H-Index
11
About
Isiah Zaplana is a robotics researcher whose work spans robot kinematics, geometric algebra, and intelligent automation for sustainable manufacturing. He is perhaps best known for his pioneering contributions to inverse kinematics, particularly his 2017 closed-form solution for redundant manipulators through workspace analysis, which has garnered 80 citations and remains a foundational reference in the field. His subsequent work applying conformal geometric algebra to serial robot kinematics (46 citations) and singularity analysis (14 citations) demonstrates a sustained commitment to developing mathematically elegant, computationally efficient frameworks that generalize across diverse robotic architectures. Beyond theoretical kinematics, Zaplana has made significant strides in sustainable robotics and circular economy applications. His research on deep learning for scrap metal classification (38 citations), unsupervised WEEE retrieval (22 citations), and robotic battery dismantling reflects a broader vision of intelligent automation addressing real-world environmental challenges. His techno-economic assessment of robotic aluminium sorting further bridges engineering innovation with industrial feasibility. Zaplana's mechanical design contributions, including an optimally routed cable-driven joint for hyper-redundant robots (27 citations), round out a remarkably versatile research portfolio. With over 250 cumulative citations across his published work, he stands as an influential and boundary-crossing figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
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- 7Techno-Economic Assessment of Robotic Sorting of Aluminium Scrap14 citations · 2022
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- 10Design of a robotic system for battery dismantling from tablets13 citations · 2022