Santiago Viertel | Universidade Federal do Paraná (original) (raw)
Related Authors
The Royal Danish Academy Of Fine Arts, Schools Of Architecture, Design And Conservation
Universidade Federal de Santa Catarina - UFSC (Federal University of Santa Catarina)
Uploads
Papers by Santiago Viertel
Revista De Informatica Teorica E Aplicada, May 18, 2015
3D robot simulators can provide a safe environment for off-line task programming, learning and ex... more 3D robot simulators can provide a safe environment for off-line task programming, learning and experimentation. A robot simulator should offer at least a complete kinematical behavior. However, gripping assessment is a non-trivial process. To incorporate the evaluation of object gripping into a simulator, it was found that there are three different approaches and Geomet-ric Reasonings was the selected one because it can be expressed in intelligible and quick heuristics. The solution using geometric reasoning was divided into two heuristic groups: one aimed at the fast identification of impossible situations (that are immedi-ately discarded) and; the other aimed at confirming that orientation and positioning situations are satisfied even with some em-bedded tolerance. The solution happens to become efficient and effective for all situations produced by user's manipulation, as it will be detailed in the paper.
Revista De Informatica Teorica E Aplicada, May 18, 2015
3D robot simulators can provide a safe environment for off-line task programming, learning and ex... more 3D robot simulators can provide a safe environment for off-line task programming, learning and experimentation. A robot simulator should offer at least a complete kinematical behavior. However, gripping assessment is a non-trivial process. To incorporate the evaluation of object gripping into a simulator, it was found that there are three different approaches and Geomet-ric Reasonings was the selected one because it can be expressed in intelligible and quick heuristics. The solution using geometric reasoning was divided into two heuristic groups: one aimed at the fast identification of impossible situations (that are immedi-ately discarded) and; the other aimed at confirming that orientation and positioning situations are satisfied even with some em-bedded tolerance. The solution happens to become efficient and effective for all situations produced by user's manipulation, as it will be detailed in the paper.