Planning and Learning
Planning and reasoning in the cooking domain (food manipulation, recipe and dish creation, cooking with limited resources)
Robot learning for food manipulation (learning food dynamics and cooking skills from demonstrations and/or practice)
Computer vision for food manipulation (finding ingredients, parts recognition of food, amount/quantity estimation of ingredients/seasonings, cooking state recognition)
Non-visual perception in food manipulation (tactile, taste, smell, mechanical properties, etc.)
Monitoring food during the cooking process (raw or overcooked? right shape?)
Robotic Hardware
Robotic hands for food manipulation (underactuated hands, jamming hands, soft grippers, origami-structured hands)
Sensors (RGB-D cameras, thermal cameras, tactile sensing, instrumented tools)
Robotic systems for food manipulation (cooking robots, meal serving robots, food material picking and placing)
Robotic Manipulation
Deformable object manipulation (soft materials, thin materials, fragile materials)
Manipulation with tools (knives, forks, spoons, tongs)
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)
Applications
Cooking
Food packing
Home and assistive robots
Social implications of autonomous foods
Food printing (3D printing)