Zobrazeno 1 - 10
of 3 081
pro vyhledávání: '"Superquadrics"'
Path planning in narrow passages is a challenging problem in various applications. Traditional planning algorithms often face challenges in complex environments like mazes and traps, where narrow entrances require special orientation control for succ
Externí odkaz:
http://arxiv.org/abs/2411.05279
Autor:
Tu, Xun, Desingh, Karthik
Grasp planning and estimation have been a longstanding research problem in robotics, with two main approaches to find graspable poses on the objects: 1) geometric approach, which relies on 3D models of objects and the gripper to estimate valid grasp
Externí odkaz:
http://arxiv.org/abs/2411.04386
Low-level 3D representations, such as point clouds, meshes, NeRFs, and 3D Gaussians, are commonly used to represent 3D objects or scenes. However, humans usually perceive 3D objects or scenes at a higher level as a composition of parts or structures
Externí odkaz:
http://arxiv.org/abs/2408.10789
Robotic grasping is an essential and fundamental task and has been studied extensively over the past several decades. Traditional work analyzes physical models of the objects and computes force-closure grasps. Such methods require pre-knowledge of th
Externí odkaz:
http://arxiv.org/abs/2305.06591
Autor:
Tomašević, Darian1 (AUTHOR) darian.tomasevic@gmail.com, Peer, Peter1 (AUTHOR) franc.solina@fri.uni-lj.si, Solina, Franc1 (AUTHOR) ales.jaklic@fri.uni-lj.si, Jaklič, Aleš1 (AUTHOR), Štruc, Vitomir2 (AUTHOR) vitomir.struc@fe.uni-lj.si
Publikováno v:
Sensors (14248220). Jul2022, Vol. 22 Issue 14, pN.PAG-N.PAG. 26p.
Akademický článek
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Abstracting complex 3D shapes with parsimonious part-based representations has been a long standing goal in computer vision. This paper presents a learning-based solution to this problem which goes beyond the traditional 3D cuboid representation by e
Externí odkaz:
http://arxiv.org/abs/1904.09970
Publikováno v:
In 2019 International Work Conference on Bioinspired Intelligence (IWOBI), pp. 45-52. IEEE, 2019
It has been a longstanding goal in computer vision to describe the 3D physical space in terms of parameterized volumetric models that would allow autonomous machines to understand and interact with their surroundings. Such models are typically motiva
Externí odkaz:
http://arxiv.org/abs/1904.06585
Publikováno v:
Sensors, Vol 22, Iss 14, p 5332 (2022)
The task of reconstructing 3D scenes based on visual data represents a longstanding problem in computer vision. Common reconstruction approaches rely on the use of multiple volumetric primitives to describe complex objects. Superquadrics (a class of
Externí odkaz:
https://doaj.org/article/a0ff4204f95a48b89b4ccc75ec59dc14