Zobrazeno 1 - 7
of 7
pro vyhledávání: '"de Farias, Cristiana"'
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. Specifically, we propose an alignment method for 3D models/point clouds that work
Externí odkaz:
http://arxiv.org/abs/2304.00892
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, which works by finding a global transformation between reference and targ
Externí odkaz:
http://arxiv.org/abs/2303.15857
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 grasp hypotheses of a region of an object are adapted to its deformed
Externí odkaz:
http://arxiv.org/abs/2203.00776
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 extracts contact points on the object's surface matching the hand configura
Externí odkaz:
http://arxiv.org/abs/2107.12492
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 demonstrate grasping of arbitrarily moving objects in 3D space. Instead
Externí odkaz:
http://arxiv.org/abs/2107.08149
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 to optimise grasp stability. In many situations, a robot will have only
Externí odkaz:
http://arxiv.org/abs/2103.00655
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