Abstract
In this paper, we present a method for planning the sensing features when the geometrical representation of the target object is known. The presented method is a synthesis form and can be used in several measurement applications in robotics. Sensing planning is an important issue when the measurement data is sparse, includes a lot of noise or there are tight time-requirements. The criteria for selecting the measurement locations and orientations is a posteriori error covariance matrix of the parameters to be estimated. The presented approach is verified by simulation tests in the case of work object location. The proposed method has been implemented into a commercial ConiferRob-robot software.
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 675-680 |
| ISBN (Print) | 0-7803-9505-0 |
| DOIs | |
| Publication status | Published - 2006 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE International Conference on Robotics and Automation - Orlando, United States Duration: 15 May 2006 → 19 May 2006 |
Publication series
| Series | IEEE International Conference on Robotics and Automation (ICRA) |
|---|---|
| ISSN | 1050-4729 |
Conference
| Conference | IEEE International Conference on Robotics and Automation |
|---|---|
| Abbreviated title | ICRA 2006 |
| Country/Territory | United States |
| City | Orlando |
| Period | 15/05/06 → 19/05/06 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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