This paper describes a remote controlled assembly using a haptic device. Most haptic devices have six Degrees Of Freedom (DOFs) for a higher sense of reality. However, for assembly operation, the simultaneous motion of parts with only one or two DOFs is required, and force feedback to operators is used only to maintain contact and detect collisions among parts. This leads to the possibility of assembly operations using a haptic device with a small number of DOFs. In this paper, we propose virtual planes to perform remote control of a 6DOF assembly by way of 1DOF user operations. Virtual planes separate the DOFs for user operation and for automatically generated motions that complement the user operation DOF in each assembly operation. A prototype system was developed with a 6DOF manipulator and camera. The system allows an operator to place virtual planes in any position and orientation using a camera image of the workspace. The experiment results showed the effectiveness of the method for remote controlled assembly without geometry information on the parts.
Because the cost of performance testing using actual products is expensive, manufacturers use lower-cost computer-aided design simulations for this function. In this paper, we propose using hexahedral meshes, which are more accurate than tetrahedral meshes, for finite element analysis. We propose automatic hexahedral mesh generation with sharp features to precisely represent the corresponding features of a target shape. Our hexahedral mesh is generated using a voxel-based algorithm. In our previous works, we fit the surface of the voxels to the target surface using Laplacian energy minimization. We used normal vectors in the fitting to preserve sharp features. However, this method could not represent concave sharp features precisely. In this proposal, we improve our previous Laplacian energy minimization by adding a term that depends on multi-normal vectors instead of using normal vectors. Furthermore, we accentuate a convex/concave surface subset to represent concave sharp features.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.