Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items

Author:

Gordon Ethan K.1,Meng Xiang2,Bhattacharjee Tapomayukh1,Barnes Matt1,Srinivasa Siddhartha S.1

Affiliation:

1. University of Washington,Department of Computer Science and Engineering,Seattle,WA,98195

2. University of Washington,Department of Statistics,Seattle,WA,98195

Funder

National Science Foundation

Publisher

IEEE

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A study on design and moving behavior of meal partner robots that can perform eating behavior expression;Advanced Robotics;2024-08-09

2. Feel the Bite: Robot-Assisted Inside-Mouth Bite Transfer using Robust Mouth Perception and Physical Interaction-Aware Control;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

3. Development of Meal Partner Robot and Applications Towards Enriching Mealtime Experience;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

4. NYAM: The Role of Configurable Engagement Strategies in Robotic-Assisted Feeding;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

5. Development and Evaluation of a Meal Partner Robot Platform;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28

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