Searched for:
(1 - 4 of 4)
document
Lei, Q. (author), Chen, G. (author), Meijer, Jonathan (author), Wisse, M. (author)
Increasing grasping efficiency is very important for the robots to grasp unknown objects especially subjected to unfamiliar environments. To achieve this, a new algorithm is proposed based on the C-shape configuration. Specifically, the geometric model of the used under-actuated gripper is approximated as a C-shape. To obtain an appropriate...
journal article 2018
document
Meijer, Jonathan (author), Lei, Q. (author), Wisse, M. (author)
This paper identifies high-performing Open Motion Planning Library (OMPL) planners for grasp execution and simultaneously presents useful benchmark data. Four grasp executions were defined using a UR5 manipulator. The performance was measured by means of solved runs, computing time and path length. Based on the results, planners are...
conference paper 2017
document
Meijer, Jonathan (author), Lei, Q. (author), Wisse, M. (author)
This paper identifies high performing motion planners among three manipulators when carrying out grasp executions. Simultaneously, this paper presents useful benchmarking data. Sampling-based motion planners of OMPL available for use in MoveIt! are compared by performing several grasping-related motion planning problems. The performance of the...
conference paper 2017
document
Lei, Q. (author), Meijer, Jonathan (author), Wisse, M. (author)
This paper identifies high-performing Open Motion Planning Library (OMPL) planners for grasp execution and simultaneously presents useful benchmark data. Four grasp executions were defined using a UR5 manipulator. The performance was measured by means of solved runs, computing time and path length. Based on the results, planners are...
conference paper 2017
Searched for:
(1 - 4 of 4)