Robotics Student Questions Perception System Degradation in Production
TL;DR. A UCL MEng Robotics & AI student seeks industry insights on detecting silent degradation in robot perception systems. - The student aims to understand current industry practices for monitoring sensor-fusion stack performance. - Inquiry focuses on methods like manual spot-checks, logging, alerts, and formal calibration schedules. - The post highlights the challenge of identifying system performance drops before visible failures occur.
- UCL MEng Robotics & AI student seeks industry input on detecting perception system degradation.
- The core problem is identifying silent performance drops in sensor-fusion stacks before critical failure.
- Inquiry explores current solutions like manual checks, logging, alerts, and calibration schedules.
Sources
- Robotics Student - Perception Systems Question — discourse.openrobotics.org