Manage complex robot states with Advanced Incidents
Operating a fleet of robots presents many challenges. The real world always has unexpected surprises and just because a robot works correctly in a lab doesn’t mean it will handle real world situations as intended. Even without an edge case occurring, the expected time to complete a mission may vary between locations or even time of day. A slight change in a given scenario may justify a different response, which robot operators can ideally account for and program ahead of time.