TY - GEN
T1 - Design of Affordable Self-learning Home Cooking Robots
AU - Jiang, Alan Z.
AU - Zhou, Meng Chu
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - There are many unsolved issues with robotic cooks. One of the essential issues is high cost, which prevents it from being widely used among families. Another is that most current cooking robots need help by pre-preparing ingredients, taking users substantial time. Additionally, they have pre-fixed recipes and procedures to cook so they cannot adapt to fit an individual's special tastes and needs. This work introduces a design for an affordable self-learning robotic chef for home, which not only can do all kinds of kitchen work, ranging from pre-preparation to cooking; but also, is capable of self-learning from multiple sources, including the Internet, books, audio, video, and human demonstrations, and can adapt to an individual's special request, which other cooking robots could not do today. A cost analysis is also introduced to estimate the cost of the robot, showing that the robot should cost much less than normal cooking robots today. Compared with other existing robots, the proposed cooking robot only needs a small amount of human assistance.
AB - There are many unsolved issues with robotic cooks. One of the essential issues is high cost, which prevents it from being widely used among families. Another is that most current cooking robots need help by pre-preparing ingredients, taking users substantial time. Additionally, they have pre-fixed recipes and procedures to cook so they cannot adapt to fit an individual's special tastes and needs. This work introduces a design for an affordable self-learning robotic chef for home, which not only can do all kinds of kitchen work, ranging from pre-preparation to cooking; but also, is capable of self-learning from multiple sources, including the Internet, books, audio, video, and human demonstrations, and can adapt to an individual's special request, which other cooking robots could not do today. A cost analysis is also introduced to estimate the cost of the robot, showing that the robot should cost much less than normal cooking robots today. Compared with other existing robots, the proposed cooking robot only needs a small amount of human assistance.
KW - cooking robot
KW - cost analysis
KW - food recognition
KW - intelligent home robot
KW - self-learning
UR - http://www.scopus.com/inward/record.url?scp=85146955842&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146955842&partnerID=8YFLogxK
U2 - 10.1109/ICNSC55942.2022.10004056
DO - 10.1109/ICNSC55942.2022.10004056
M3 - Conference contribution
AN - SCOPUS:85146955842
T3 - ICNSC 2022 - Proceedings of 2022 IEEE International Conference on Networking, Sensing and Control: Autonomous Intelligent Systems
BT - ICNSC 2022 - Proceedings of 2022 IEEE International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Networking, Sensing and Control, ICNSC 2022
Y2 - 15 December 2022 through 18 December 2022
ER -