The ycb object and model set: Towards common benchmarks for manipulation research
B Calli, A Singh, A Walsman, S Srinivasa… - 2015 international …, 2015 - ieeexplore.ieee.org
In this paper we present the Yale-CMU-Berkeley (YCB) Object and Model set, intended to be
used for benchmarking in robotic grasping and manipulation research. The objects in the set …
used for benchmarking in robotic grasping and manipulation research. The objects in the set …
Yale-CMU-Berkeley dataset for robotic manipulation research
In this paper, we present an image and model dataset of the real-life objects from the Yale-
CMU-Berkeley Object Set, which is specifically designed for benchmarking in manipulation …
CMU-Berkeley Object Set, which is specifically designed for benchmarking in manipulation …
Benchmarking in manipulation research: Using the Yale-CMU-Berkeley object and model set
B Calli, A Walsman, A Singh, S Srinivasa… - IEEE Robotics & …, 2015 - ieeexplore.ieee.org
In this article, we present the Yale-Carnegie Mellon University (CMU)-Berkeley (YCB) object
and model set, intended to be used to facilitate benchmarking in robotic manipulation …
and model set, intended to be used to facilitate benchmarking in robotic manipulation …
Dex-net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning
Vacuum-based end effectors are widely used in industry and are often preferred over
parallel-jaw and multifinger grippers due to their ability to lift objects with a single point of …
parallel-jaw and multifinger grippers due to their ability to lift objects with a single point of …
Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards
This paper presents the Dexterity Network (Dex-Net) 1.0, a dataset of 3D object models and
a sampling-based planning algorithm to explore how Cloud Robotics can be used for robust …
a sampling-based planning algorithm to explore how Cloud Robotics can be used for robust …
Bigbird: A large-scale 3d database of object instances
The state of the art in computer vision has rapidly advanced over the past decade largely
aided by shared image datasets. However, most of these datasets tend to consist of assorted …
aided by shared image datasets. However, most of these datasets tend to consist of assorted …
Synergies between affordance and geometry: 6-dof grasp detection via implicit representations
Grasp detection in clutter requires the robot to reason about the 3D scene from incomplete
and noisy perception. In this work, we draw insight that 3D reconstruction and grasp learning …
and noisy perception. In this work, we draw insight that 3D reconstruction and grasp learning …
Benchmarking in manipulation research: The ycb object and model set and benchmarking protocols
B Calli, A Walsman, A Singh, S Srinivasa… - arXiv preprint arXiv …, 2015 - arxiv.org
In this paper we present the Yale-CMU-Berkeley (YCB) Object and Model set, intended to be
used to facilitate benchmarking in robotic manipulation, prosthetic design and rehabilitation …
used to facilitate benchmarking in robotic manipulation, prosthetic design and rehabilitation …
Egad! an evolved grasping analysis dataset for diversity and reproducibility in robotic manipulation
We present the Evolved Grasping Analysis Dataset (EGAD), comprising over 2000
generated objects aimed at training and evaluating robotic visual grasp detection …
generated objects aimed at training and evaluating robotic visual grasp detection …
Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation
Robotic dexterous grasping is the first step to enable human-like dexterous object
manipulation and thus a crucial robotic technology. However, dexterous grasping is much …
manipulation and thus a crucial robotic technology. However, dexterous grasping is much …