Alioune Diouf

Sorbonne Université, Institut Systèmes Intelligents et de Robotique

Papers

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About

Alioune Diouf is a researcher whose work sits at the intersection of robotics, bioengineering, and human-robot interaction. His primary research areas include robotic manipulation, particularly dexterous in-hand manipulation, and the application of robotics to biological systems. Diouf’s most notable contribution is his pioneering work on the robotic sorting of zebrafish embryos, a 2024 paper that has already garnered 5 citations, demonstrating its immediate impact on the field of automated biological sample handling. This work promises to accelerate high-throughput screening in developmental biology and drug discovery. In parallel, Diouf has made significant strides in understanding and replicating human dexterity. His 2021 paper on a robotic in-hand manipulation dictionary, based on human data, proposes a novel method for extracting motion primitives from human actions. This foundational work, with 3 citations, provides a core framework for path planning algorithms in multi-fingered robotic hands, bridging the gap between human capability and robotic precision. Through these contributions, Diouf is advancing both the practical application of robotics in life sciences and the fundamental science of robotic manipulation.