Using touch sensor and vision feedback to adapt skewering strategy for robust assistive feeding
Author:
Affiliation:
1. MAE, NTU, Singapore
2. RRIS, NTU, Singapore
3. Leong Research Group, NTU, Singapore
4. Rehabilitation Research Institute of Singapore (RRIS), Nanyang Technological University, Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3628228.3628485
Reference23 articles.
1. Larry K. Baxter. 1997. Capacitive Sensors: Design and Applications. John Wiley and Sons.
2. Towards Robotic Feeding: Role of Haptics in Fork-Based Food Manipulation
3. Determining Success and Attributes of Various Feeding Approaches With A Mobile Robot
4. Wen-Chang Cheng, Hung-Chou Hsiao, and Chi-Yu Chung. 2020. Implementation of ROS-based Feeding Robot System with Intention Detection. In 2020 International Automatic Control Conference (CACS). 1–5.
5. P. Dario M. Bergamasco and A. Fiorillo. 1988. Force and Tactile Sensing for Robots. In Sensors and Sensory Systems for Advanced Robots Paolo Dario (Ed.). Springer Berlin Heidelberg Berlin Heidelberg 153–185.
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