Compensating for Material Deformation in Foldable Robots via Deep Learning - A Case Study - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Mohammad Sharifzadeh, Yuhao Jiang, Amir Salimi Lafmejani, Daniel M. Aukes. Compensating for Material Deformation in Foldable Robots via Deep Learning - A Case Study. In 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022. pages 5184-5190, IEEE, 2022. [doi]

This author has not been identified. Look up 'Mohammad Sharifzadeh' in GoogleThis author has not been identified. Look up 'Yuhao Jiang' in GoogleThis author has not been identified. Look up 'Amir Salimi Lafmejani' in GoogleThis author has not been identified. Look up 'Daniel M. Aukes' in Google

runs on WebDSL