Trends and challenges in robot manipulation
BACKGROUND Humans have a fantastic ability to manipulate objects of various shapes,
sizes, and materials and can control the objects' position in confined spaces with the …
sizes, and materials and can control the objects' position in confined spaces with the …
A review of robot learning for manipulation: Challenges, representations, and algorithms
A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …
interacting with the world around them to achieve their goals. The last decade has seen …
Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics
Data-driven grasp synthesis—a survey
We review the work on data-driven grasp synthesis and the methodologies for sampling and
ranking candidate grasps. We divide the approaches into three groups based on whether …
ranking candidate grasps. We divide the approaches into three groups based on whether …
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 …
High precision grasp pose detection in dense clutter
This paper considers the problem of grasp pose detection in point clouds. We follow a
general algorithmic structure that first generates a large set of 6-DOF grasp candidates and …
general algorithmic structure that first generates a large set of 6-DOF grasp candidates and …
Using geometry to detect grasp poses in 3d point clouds
This paper proposes a new approach to using machine learning to detect grasp poses on
novel objects presented in clutter. The input to our algorithm is a point cloud and the …
novel objects presented in clutter. The input to our algorithm is a point cloud and the …