Name
Title | ||
|---|---|---|
Force Sensitive Robotic End-Effector Using Embedded Fiber Optics and Deep Learning Characterization for Dexterous Remote Manipulation. |
Abstract | ||
|---|---|---|
Many of the tasks that require a high level of autonomy in complex and dangerous situations are still done by human operators with a high risk of accidents. Although various remotely controlled robot systems have been proposed, the remote operation has limitations in performance and efficiency compared with on-site operations. This letter proposes the design of a new force and tactile sensing mech... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LRA.2019.2926959 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Force,Robot sensing systems,Strain,End effectors,Mathematical model | Remote operation,Fiber optic sensor,Remote control,Simulation,Contact force,Gaussian blur,Control engineering,Robot end effector,Artificial intelligence,Engineering,Deep learning,Artificial neural network | Journal |
Volume | Issue | ISSN |
4 | 4 | 2377-3766 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jae In Kim | 1 | 0 | 0.34 |
| Dongwook Kim | 2 | 43 | 12.90 |
| Matthew Krebs | 3 | 0 | 0.34 |
| Young Soo Park | 4 | 0 | 0.34 |
| Yong-Lae Park | 5 | 210 | 26.70 |