47 citations · 48 across the 3 of their papers we have counts for
6 papers
Asservissement visuel 3D direct dans le domaine spectral
Maxime Adjigble, Brahim Tamadazte, Cristiana de Farias +2
This paper presents a direct 3D visual servo scheme for the automatic alignment of point clouds (respectively, objects) using visual information in the spectral domain. Specificall…
3D Spectral Domain Registration-Based Visual Servoing
Maxime Adjigble, Brahim Tamadazte, Cristiana de Farias +2
This paper presents a spectral domain registration-based visual servoing scheme that works on 3D point clouds. Specifically, we propose a 3D model/point cloud alignment method, whi…
Grasp Transfer for Deformable Objects by Functional Map Correspondence
Cristiana de Farias, Brahim Tamadazte, Rustam Stolkin +1
Handling object deformations for robotic grasping is still a major problem to solve. In this paper, we propose an efficient learning-free solution for this problem where generated…
SpectGRASP: Robotic Grasping by Spectral Correlation
Maxime Adjigble, Cristiana de Farias, Rustam Stolkin +1
This paper presents a spectral correlation-based method (SpectGRASP) for robotic grasping of arbitrarily shaped, unknown objects. Given a point cloud of an object, SpectGRASP extra…
Dual Quaternion-Based Visual Servoing for Grasping Moving Objects
Cristiana de Farias, Maxime Adjigble, Brahim Tamadazte +2
This paper presents a new dual quaternion-based formulation for pose-based visual servoing. Extending our previous work on local contact moment (LoCoMo) based grasp planning, we de…
Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects
Cristiana de Farias, Naresh Marturi, Rustam Stolkin +1
This paper addresses the problem of simultaneously exploring an unknown object to model its shape, using tactile sensors on robotic fingers, while also improving finger placement t…