Oct 24, 2019 · We propose UniGrasp, an efficient data-driven grasp synthesis method that considers both the object geometry and gripper attributes as inputs.
Feb 17, 2020 · Overview of UniGrasp for a 3-fingered gripper. First, we individually map gripper and object features into a lower-dimensional latent space.
Missing: N- Fingered
UniGrasp is an efficient data-driven grasp synthesis method that considers both the object geometry and gripper attributes as inputs and is based on a novel ...
Oct 30, 2019 · We propose UniGrasp, an efficient data-driven grasp synthesis method that considers both the object geometry and gripper attributes as inputs.
UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic ...
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Jan 5, 2020 · It outputs a set of contact points that are in force closure and reachable by the robot hand. This contact-based grasp representation allows to.
Missing: N- Fingered
UniGrasp is an efficient data-driven grasp synthesis method that considers both the object geometry and gripper attributes as inputs and is based on a novel ...
Learning a Unified Model to Grasp With Multifingered Robotic Hands
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We propose UniGrasp , an efficient data-driven grasp synthesis method that considers both the object geometry and gripper attributes as inputs. UniGrasp is ...
Duration: 2:31
Posted: Oct 28, 2019
Posted: Oct 28, 2019
Missing: N- Fingered
Oct 24, 2019 · The proposed model is trained on a large dataset to produce contact points that are in force closure and reachable by the robot hand. By using ...
Unigrasp: Learning a unified model to grasp with multifingered robotic hands ... Unigrasp: Learning a unified model to grasp with n-fingered robotic hands. L ...