One-handed knotting of a flexible rope with a high-speed multifingered hand having tactile sensors

By Y. Yamakawa, A. Namiki, M. Ishikawa, M. Shimojo. 2007

68 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Combining self-supervised learning and imitation for vision-based rope manipulation (2017, background): “[22] investigated the problem of knot tying and following works used motion planning [23], fixtures for open-loop execution [3] and robotic hands with tactile feedback [24].”
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations (2010, methodology): “We complement the work of [33], as our approach can teach the robot new tasks without the need for precise specification of the task trajectory.”
Cable manipulation with a tactile-reactive gripper (2019, background): “shows how our framework could potentially be extended for the knot-tying task [15].”
Learning from Demonstrations Through the Use of Non-rigid Registration (2013, background): “robotic hands with tactile feedback [15], and fixtures that enable robust open-loop execution [16].”