Workshop on Robotic Food Manipulation

at HUMANOIDS 2019

Topics of interest

  • Theoretical tools:
    • Planning and reasoning in the cooking domain (food manipulation, recipe and dish creation, cooking with limited resources)
    • Robot learning for food manipulation (learning cooking skills from demonstrations and/or practice)
    • Machine learning for food manipulation (learning food dynamics)
  • Perception:
    • Computer vision for food manipulation (finding ingredients, parts recognition of food, amount/quantity estimation of ingredients/seasonings, cooking state recognition)
    • Non-visual sensing in food manipulation (tactile, taste, smell, etc.)
    • Monitoring food during the cooking process (is it done? Raw? Overcooked? The right shape?)
  • Hardware:
    • Soft robotics
    • Robotic systems for food manipulation
    • Robotic hands for food manipulation
    • Sensors (thermal cameras, tactile sensing, instrumented tools)
  • Robotic manipulation:
    • Deformable object manipulation
    • Manipulation with tools
    • Food manipulation skills (pouring, scooping, mixing, cutting, transporting, etc.)
    • Knowledge base for food manipulation (recipes, cooking procedure, physical and chemical process of ingredients, flavor, nutrition, health facts, etc.)
  • Application
    • Cooking robots
    • Food manipulation for industry
    • Food manipulation for home and assistive robots
    • Social implications of autonomous foods
    • Food Printing (3D printing)