Learning 6-dof fine-grained grasp detection based on part affordance grounding
Robotic grasping is a fundamental ability for a robot to interact with the environment. Current
methods focus on how to obtain a stable and reliable grasping pose in object level, while …
methods focus on how to obtain a stable and reliable grasping pose in object level, while …
Task-informed grasping of partially observed objects
In this letter, we address the problem of task-informed grasping in scenarios where only
incomplete or partial object information is available. Existing methods, which either focus on …
incomplete or partial object information is available. Existing methods, which either focus on …
Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects
Integrating robotics into human-centric environments such as homes, necessitates
advanced manipulation skills as robotic devices will need to engage with articulated objects …
advanced manipulation skills as robotic devices will need to engage with articulated objects …
Cross-Category Functional Grasp Tansfer
R Wu, T Zhu, X Lin, Y Sun - arXiv preprint arXiv:2405.08310, 2024 - arxiv.org
Generating grasps for a dexterous hand often requires numerous grasping annotations.
However, annotating high DoF dexterous hand poses is quite challenging. Especially for …
However, annotating high DoF dexterous hand poses is quite challenging. Especially for …