A Framework For Manipulating Deformable

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Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ... Paper title: A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control. Dmitry Berenson Assistant Professor Electrical Engineering & Computer Science Department, University of Michigan Friday, ... Project website: softmimicgen.github.io/ Large-scale robot datasets have facilitated the learning of a wide range of robot ... A trailer video for IROS 2020 workshop on Managing Deformation: A Step Towards Higher Robot Autonomy To watch the full ... Learning to Manipulate Deformable Objects without Demonstrations

A presentation by Prof. Dmitry Berenson from University of Michigan. Recorded for the Second Workshop on Robotic IEEE Robotics and Automation Letters (RA-L) 2024 Abstract:

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RI Seminar: Dmitry Berenson : What Matters for Deformable Object Manipulation
SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation
A compilation of robotics manipulation of deformable objects
Learning to Manipulate Deformable Objects without Demonstrations
Workshop ROMADO - Toward a general framework for 3D deformable object grasping and manipulation
Robot manipulating both rigid and deformable objects
Deformable Objects Manipulation Using Model Adaptation Techniques
Planning and control with unreliable dynamics for deformable object manipulation - Dmitry Berenson
Deformable Linear Objects Manipulation with Online Model Parameters Estimation

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Last Updated: June 25, 2026

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