Process

Field testing

You might say: hardware testing, deployment

Field testing runs the robot on real tasks in the real setting while logging outcomes, interventions and failures.

What it does
It exposes gaps in models, calibration, communications, terrain and operator workflows that simulation misses.
Ask
What task success, autonomy time and distance, and intervention rate were achieved?
Typical
A field study can use logged autonomous distance and time to define intervention metrics.

What to look for

  1. Robot running a real task
  2. Robot in the real setting
  3. Logged outcomes, interventions and failures

Sources

  1. Matías Mattamala, Nived Chebrolu, Jonas Frey, Leonard Freißmuth, Haedam Oh, Benoit Casseau, Marco Hutter and Maurice Fallon, Building Forest Inventories with Autonomous Legged Robots - System, Lessons, and Challenges Ahead, Secs. IV–V, deployment method and autonomy resultsThese scans are used for online forest inventory to determine attributes such as the DBH of the surrounding forests, and reported in real-time to the operator, providing live feedback on the mission.
  2. Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter and others, Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned, Sec. 4.1, field-deployment preparation and testingSimulation can help in stress testing the methods, debugging minor errors, and tuning parameters of the algorithms which is not feasible during a field test.

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