Rita Laezza

Doctoral Student at Mechatronics

Rita Laezza is a PhD student in the Mechatronics group, focusing her research on Reinforcement Learning (RL) for robotic manipulation of deformable objects. Rita has a background in Biomedical Engineering at Chalmers, having specialized in Signals and Control, and completed her thesis on Deep Learning for myoelectric pattern recognition at the Biomechatronics and Neurorehabilitation Lab. Her goal is to deal with the manipulation of deformable objects by combining Deep Neural Networks and control policies based on RL principles. This project is running in collaboration with WASP.

Source: chalmers.se
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Showing 8 publications

2022

Planning and Control for Cable-routing with Dual-arm Robot

Gabriel Arslan Waltersson, Rita Laezza, Yiannis Karayiannidis
Proceedings - IEEE International Conference on Robotics and Automation. Vol. 2022-May, p. 1046-1052
Paper in proceeding
2022

Feel the Tension: Manipulation of Deformable Linear Objects in Environments with Fixtures using Force Information

Finn Süberkrüb, Rita Laezza, Yiannis Karayiannidis
IEEE International Conference on Intelligent Robots and Systems. Vol. 2022-October, p. 11216-11222
Paper in proceeding
2022

Blind Manipulation of Deformable Linear Objects Based on Force Information from Environmental Contacts

Rita Laezza, Finn Süberkrüb, Yiannis Karayiannidis
Other conference contribution
2021

Presenting ReForm, a Robot Learning Sandbox for Deformable Linear Object Manipulation

Rita Laezza, Robert Gieselmann, Florian T. Pokorny et al
Other conference contribution
2021

ReForm: A Robot Learning Sandbox for Deformable Linear Object Manipulation

Rita Laezza, Robert Gieselmann, Florian T. Pokorny et al
Proceedings - IEEE International Conference on Robotics and Automation. Vol. 2021-May, p. 4717-4723
Paper in proceeding
2021

Learning Shape Control of Elastoplastic Deformable Linear Objects

Rita Laezza, Yiannis Karayiannidis
Proceedings - IEEE International Conference on Robotics and Automation. Vol. 2021-May, p. 4438-4444
Paper in proceeding
2020

Shape Control of Elastoplastic Deformable Linear Objects through Reinforcement Learning

Rita Laezza, Yiannis Karayiannidis
Other conference contribution

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