Name
Title | ||
|---|---|---|
Intelligent Robotic Peg-in-Hole Insertion Learning Based on Haptic Virtual Environment |
Abstract | ||
|---|---|---|
A new approach is explored to transfer human manipulation skills to a robotics system. A skill acquisition algorithm utilizes the position and contact force/torque data generated in the virtual environment combined with a priori knowledge about the task to generate the skills required to perform such a task. Such skills are translated into actual robotic trajectories for implementation in real time. The peg-in-hole insertion problem is used as a case study. The results are reported. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/CADCG.2007.4407908 | CAD/Graphics |
Keywords | Field | DocType |
intelligent robotic peg-in-hole insertion learning,virtual reality,learning (artificial intelligence),skill acquisition algorithm,rendering (computer graphics),human manipulation skills,intelligent robots,haptic virtual environment,manipulators,haptic interfaces,skill acquisition,a priori knowledge,learning artificial intelligence,real time,virtual environment | Computer vision,Virtual reality,Virtual machine,Torque,Haptic virtual environment,Simulation,Computer science,A priori and a posteriori,Contact force,Dreyfus model of skill acquisition,Artificial intelligence,Robotics | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4244-1579-3 |
Citations | PageRank | References |
2 | 0.39 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yutuo Chen | 1 | 3 | 0.74 |
| Xuli Han | 2 | 159 | 22.91 |
| Minoru Okada | 3 | 250 | 58.32 |
| Yu Chen | 4 | 517 | 49.61 |
| Fazel Naghdy | 5 | 260 | 30.25 |