Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning

J Hua, L Zeng, G Li, Z Ju - Sensors, 2021‏ - mdpi.com
Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …

Hand-object contact consistency reasoning for human grasps generation

H Jiang, S Liu, J Wang, X Wang - Proceedings of the IEEE …, 2021‏ - openaccess.thecvf.com
While predicting robot grasps with parallel jaw grippers have been well studied and widely
applied in robot manipulation tasks, the study on natural human grasp generation with a …

First-person hand action benchmark with rgb-d videos and 3d hand pose annotations

G Garcia-Hernando, S Yuan… - Proceedings of the …, 2018‏ - openaccess.thecvf.com
In this work we study the use of 3D hand poses to recognize first-person dynamic hand
actions interacting with 3D objects. Towards this goal, we collected RGB-D video sequences …

The grasp taxonomy of human grasp types

T Feix, J Romero, HB Schmiedmayer… - … on human-machine …, 2015‏ - ieeexplore.ieee.org
In this paper, we analyze and compare existing human grasp taxonomies and synthesize
them into a single new taxonomy (dubbed “The GRASP Taxonomy” after the GRASP project …

Gras** field: Learning implicit representations for human grasps

K Karunratanakul, J Yang, Y Zhang… - … Conference on 3D …, 2020‏ - ieeexplore.ieee.org
Robotic gras** of house-hold objects has made remarkable progress in recent years. Yet,
human grasps are still difficult to synthesize realistically. There are several key reasons:(1) …

Artificial intelligence and its role in near future

J Shabbir, T Anwer - ar** and manipulating objects is an important human skill. Since hand-object contact is
fundamental to gras**, capturing it can lead to important insights. However, observing …

A survey of knowledge representation in service robotics

D Paulius, Y Sun - Robotics and Autonomous Systems, 2019‏ - Elsevier
Within the realm of service robotics, researchers have placed a great amount of effort into
learning, understanding, and representing motions as manipulations for task execution by …