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Mendeley readers
| Chapter title |
End-to-End Learning of Object Grasp Poses in the Amazon Robotics Challenge
|
|---|---|
| Chapter number | 6 |
| Book title |
Advances on Robotic Item Picking
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-35679-8_6 |
| Book ISBNs |
978-3-03-035678-1, 978-3-03-035679-8
|
| Authors |
Eiichi Matsumoto, Masaki Saito, Ayaka Kume, Jethro Tan, Matsumoto, Eiichi, Saito, Masaki, Kume, Ayaka, Tan, Jethro |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 22% |
| Researcher | 5 | 16% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Other | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 38% |
| Engineering | 6 | 19% |
| Unspecified | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 28% |