Antonio Leanza

University of Salento, Polytechnic University of Bari

Papers

Total Citations

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About

Antonio Leanza is a researcher at the forefront of robotics and autonomous systems, with a particular focus on agricultural robotics and multibody system dynamics. His work bridges the gap between theoretical modeling and practical field applications, addressing critical challenges in robot autonomy and terrain interaction. Leanza’s most impactful contribution is his novel framework for modeling and dynamic simulation of multibody systems using factor graphs, which has garnered 10 citations since 2021. This work provides a unified, graph-based approach to solving complex kinematic and dynamic problems, offering a powerful alternative to traditional methods. In the domain of agricultural robotics, Leanza has made significant strides in increasing robot autonomy. His 2023 paper on robust orientation estimation for autonomous agricultural robots (7 citations) tackles the fundamental challenge of reliable heading determination in unstructured environments. Complementing this, his 2021 work on terrain unevenness estimation (4 citations) enables robots to better perceive and adapt to natural terrain, a critical capability for precision farming and field operations. Together, these contributions demonstrate Leanza’s commitment to developing practical, robust solutions that push the boundaries of what autonomous robots can achieve in real-world, off-road settings.