Romain Lagneau

Université Rennes 2, Université de Rennes, Institut de Recherche en Informatique et Systèmes Aléatoires

Papers

Total Citations

118

H-Index

About

Romain Lagneau is a leading researcher in the field of robotic manipulation of deformable objects, a critical area for advancing automation in manufacturing, healthcare, and service robotics. His work focuses on developing model-free visual servoing techniques that allow robots to autonomously control the 3D shape of soft and deformable materials, such as wires and fabrics, without requiring complex physical models. Lagneau’s most impactful contribution is his novel approach to automatic shape control of deformable wires using dual-arm robots, which introduced a geometric B-spline-based visual feature and a shape servoing method, earning 84 citations. He also developed the ADVISEd method (21 citations), which enables active deformation of soft objects through online estimation of the deformation Jacobian, and a simultaneous tracking and elasticity parameter estimation technique (11 citations) that combines RGB-D data with interactive Finite Element Method simulations. His work has been published in top venues like *IEEE Robotics and Automation Letters*, and his adaptive visual servoing framework represents a significant step toward enabling robots to handle non-rigid objects with the same dexterity as rigid ones. Lagneau’s research is paving the way for more versatile and intelligent robotic systems capable of interacting with the deformable world around us.