Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots
Motion planning is a computationally intensive and well-studied problem in autonomous robots. However, motion planning hardware accelerators (MPA) must be soft-error resilient for deployment in safety-critical applications, and blanket application of traditional mitigation techniques is ill-suited d...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ACM
2023
|
| Online Access: | https://hdl.handle.net/1721.1/152618 |