Generic Algorithm for Peg-In-Hole Assembly Tasks for Pin Alignments with Impedance Controlled Robots
In this paper, a generic algorithm for peg-in-hole assembly tasks is suggested. It is applied in the project GINKO were the aim is to connect electric vehicles with charging stations automatically. This paper explains an algorithm applicable for peg-in-hole tasks by means of Cartesian impedance cont...
Saved in:
| Published in | Robot 2015: Second Iberian Robotics Conference pp. 105 - 117 |
|---|---|
| Main Authors | , , , , |
| Format | Book Chapter |
| Language | English |
| Published |
Cham
Springer International Publishing
2016
|
| Series | Advances in Intelligent Systems and Computing |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783319271484 3319271482 |
| ISSN | 2194-5357 2194-5365 |
| DOI | 10.1007/978-3-319-27149-1_9 |
Cover
| Summary: | In this paper, a generic algorithm for peg-in-hole assembly tasks is suggested. It is applied in the project GINKO were the aim is to connect electric vehicles with charging stations automatically. This paper explains an algorithm applicable for peg-in-hole tasks by means of Cartesian impedance controlled robots. The plugging task is a specialized peg-in-hole task for which 7 pins have to be aligned simultaneously and the peg and the hole have asymmetric shapes. In addition significant forces are required for complete insertion. The initial position is inaccurately estimated by a vision system. Hence, there are translational and rotational uncertainties between the plug, carried by the robot and the socket, situated on the E-car. To compensate these errors three different steps of Cartesian impedance control are performed. To verify our approach we evaluated the algorithm from many different start positions. |
|---|---|
| Bibliography: | This paper is supported by the Federal Ministry of Education and Research (Germany), under the funding code 03IPT505A. Responsibility for content lies with the authors. |
| ISBN: | 9783319271484 3319271482 |
| ISSN: | 2194-5357 2194-5365 |
| DOI: | 10.1007/978-3-319-27149-1_9 |