A two-stage grasp strategy combining the classification and detection methods is developed as an effective solution to estimate the grasp configuration ...

A two-stage grasp strategy combining the classification and detection methods is developed as an effective solution to estimate the grasp configuration ...

A two-stage grasp strategy combining the classification and detection methods is developed as an effective solution to estimate the grasp configuration ...

Semantic Scholar extracted view of "Two-stage grasp strategy combining CNN-based classification and adaptive detection on a flexible hand" by Xiaoyan Chen ...

In this paper we present a robot that is able to perform daily manipulation tasks in a home environment, such as opening doors and drawers.

Jan 22, 2022 · A convolutional neural network (CNN)-based hand activity prediction method is proposed, which utilizes motion data to estimate hand grasping actions.

X.Y. Chen, Y.L. Sun, Q.J. Zhang, F. Liu, Two-stage grasp strategy combining CNN-based classification and adaptive detection on a flexible hand, Appl. Soft ...

Vision-based Robotic Grasping: Papers and Codes. The essential information to grasp the target object is the 6D gripper pose in the camera coordinate.

Chen, Two-stage grasp strategy combining CNN-based classification and adaptive detection on a flexible hand, Appl. Soft Comput., № 97, с. 1 https://doi.org ...

Two-stage grasp strategy combining CNN-based classification and adaptive detection on a flexible hand · Engineering, Computer Science. Appl. Soft Comput. · 2020.