Name
Abstract | ||
|---|---|---|
One of the main challenges in robot swarming arises from the need to design controllers that guarantee safety and motion planners that guarantee collision avoidance. This translates into sensors that measure proximity to neighbors and algorithms that scale exponentially with the number of robots. In many cases, these problems are solved very differently in nature, especially at smaller scales. The... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LRA.2017.2775699 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Collision avoidance,Robot sensing systems,Robot kinematics,Attitude control,Trajectory,Robustness | Control theory,Robot kinematics,Collision,Robustness (computer science),Control engineering,Attitude control,Engineering,Robot,Trajectory | Journal |
Volume | Issue | ISSN |
3 | 1 | 2377-3766 |
Citations | PageRank | References |
3 | 0.42 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yash Mulgaonkar | 1 | 238 | 13.90 |
| Anurag Makineni | 2 | 32 | 2.22 |
| Luis Guerrero-Bonilla | 3 | 16 | 2.73 |
| Vijay Kumar | 4 | 7086 | 693.29 |