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Field Robotics

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Field Robotics deals with intelligent robotic systems in unstructured and dynamic environments. The goal is to apply new field robotics methods in challenging industrial, social, and environmental settings. This is happening in four core areas:

  • Sensors, sensor fusion, and perception
  • Movement, control, and decision making
  • Modelling, learning, and adapting
  • Architectures and cooperation of intelligent robotics systems.
Field Robotics Stanford University Robotics Center

Examples - Agriculture

  • Unpiloted air and ground vehicles for seeding and farming of crops, trees, and livestock


  • Usage of drones for estimating area parameters (e.g. forests) with the help of sensor-fusion algorithms, high-resolution airborne imagery, photogrammetry, hyperspectral imaging, and airborne laser scanning.


  • Automation of the way we move goods and people with the goal of improving productivity, liveability, and safety


  • Contribute to projects in the areas of perception, detection, path planning, and battlefield casualty care