A Case Study of Flexible Object Manipulation

By John E. Hopcroft, J. Kearney, D. Krafft. 1991

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Citations in the corpus

Combining self-supervised learning and imitation for vision-based rope manipulation (2017, methodology): “Previous work on deformable object manipulation has sought to use sophisticated finite element models [1], [3], hand-engineered representations [4], [5], [6], [7], and direct imitation of human-provided demonstrations [8], [9].”
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks (2020, background): “Rope has been extensively explored in early robotics literature, such as for knot-tying [27], [45].”
Dexterous Robotic Manipulation of Deformable Objects with Multi-Sensory Feedback - a Review (2010, unknown): “In the work conducted in (Hopcroft et al., 1991), the robotic system described was able to tie knots in ropes of many different sizes, stiffnesses, and initial configurations.”
Cable manipulation with a tactile-reactive gripper (2019, background): “Cable/rope manipulation Manipulating wire-like objects has attracted attention in the robotics community [2], [3] with tasks including tying knots [4], surgical suturing [5], or wire reshaping [6], [7].”
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data (2020, methodology): “There has been prior work successfully utilizing finite element models [13] and hard-coded representations for deformable”
Knotting/Unknotting Manipulation of Deformable Linear Objects (2006, methodology): “Finally, we describe knotting/unknotting manipulation performed by a vision-guided system to confirm the usefulness of our approach.”
Flexible Object Manipulation (2010, background): “developed a graph-based language meant for programming knot tying motions at a fairly high level [33].”