Name
Abstract | ||
|---|---|---|
For many tasks, including table tennis, catching, and sword fighting, a critical step is intercepting the incoming object with a robot arm or held tool. Solutions to robot arm interception via learning, specifically reinforcement learning (RL), have become prevalent, as they provide robust solutions to the robot arm interception problem, even for high degree of freedom robotic systems. Despite num... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IROS51168.2021.9635993 | 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
Keywords | DocType | ISSN |
Projectiles,Neurons,Kinematics,Reinforcement learning,Arms,Manipulators,Task analysis | Conference | 2153-0858 |
ISBN | Citations | PageRank |
978-1-6654-1714-3 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John E. G. Baxter | 1 | 0 | 0.34 |
| Torin Adamson | 2 | 1 | 1.40 |
| Satomi Sugaya | 3 | 0 | 2.37 |
| Lydia Tapia | 4 | 194 | 24.66 |