Jun 7, 2021 · We propose an approach to multi-modal grasp detection that jointly predicts the probabilities that several types of grasps succeed at a given grasp pose.
Abstract—We propose an approach to multi-modal grasp detection that jointly predicts the probabilities that several types of grasps succeed at a given grasp ...
Sep 29, 2021 · We propose a data-driven grasp detection framework that, given partial depth data and a grasp pose, jointly predicts the grasp success probabilities of several ...
Duration: 12:50
Posted: Oct 6, 2021
Posted: Oct 6, 2021
Jun 7, 2021 · However, multi-modal grasping with multi-finger grippers could much more effectively clear objects of varying sizes from cluttered scenes. We ...
Studies have shown that higher-order variations in finger pose depend on the shape of the object (Jarrassé et al. 2014;Santello et al. 1998).
MultiModalGrasping. Code for Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. Paper · Virtual Conference Presentation. Release ...
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. I presented this paper at IROS 2021. See the blog post about it here and the ...
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Nov 15, 2023 · Grasp detection, also known as grasp estimation, is the process by which the robot interacts with the environment through vision sensors to ...
Early work on multi-finger grasping focused on constructing force-closure grasps that are dexterous, in equilibrium, sta- ble, and exhibit a certain dynamic ...