ReForm: A Robot Learning Sandbox for Deformable Linear Object Manipulation
Rita Laezza Robert Gieselmann Florian T. Pokorny Yiannis Karayiannidis Rita Laezza Robert Gieselmann Florian T. Pokorny Yiannis Karayiannidis
Recent advances in machine learning have triggered an enormous interest in using learning-based approaches for robot control and object manipulation. While the majority of existing algorithms are evaluated under the assumption that the involved bodies are rigid, a large number of practical applications contain deformable objects. In this work we focus on Deformable Linear Objects (DLOs) which can ...