Workshop on Robotic Food Manipulation
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)