The Idea is Add an observability and logging dashboard to OM1 that shows:
Robot action decisions (what actions were planned and executed)
LLM prompt latency and response timing
Sensor ingestion status and performance
This dashboard would give developers a clear view of what is happening inside the OM1 runtime. When a robot does not act as expected, it is currently hard to know why. The problem could be caused by slow LLM responses, missing sensor data, or failed action execution. Without clear visibility, debugging takes time and guesswork.
Benefits for OM1 Users
Makes debugging faster and easier
Helps understand why a robot did or did not act
Exposes performance issues like latency or dropped sensor data
Improves reliability for real-world robot deployments
Lowers the learning curve for new OM1 users and contributors
The Idea is Add an observability and logging dashboard to OM1 that shows:
Robot action decisions (what actions were planned and executed)
LLM prompt latency and response timing
Sensor ingestion status and performance
This dashboard would give developers a clear view of what is happening inside the OM1 runtime. When a robot does not act as expected, it is currently hard to know why. The problem could be caused by slow LLM responses, missing sensor data, or failed action execution. Without clear visibility, debugging takes time and guesswork.
Benefits for OM1 Users
Makes debugging faster and easier
Helps understand why a robot did or did not act
Exposes performance issues like latency or dropped sensor data
Improves reliability for real-world robot deployments
Lowers the learning curve for new OM1 users and contributors