JamTac: A Tactile Jamming Gripper for Searching and Grasping in Low-Visibility Environments-Reference-Cited by-同舟云学术

JamTac: A Tactile Jamming Gripper for Searching and Grasping in Low-Visibility Environments

Published:2023-10-01 Issue:5 Volume:10 Page:988-1000
ISSN:2169-5172
Container-title:Soft Robotics
language:en
Short-container-title:Soft Robotics

Author:

Li Shoujie¹,Ye Linqi²,Yu Haixin¹,Yin Xianghui¹,Xia Chongkun¹,Ding Wenbo¹,Wang Xueqian¹,Liang Bin³

Affiliation:

1. Center of Intelligent Control and Telescience, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.

2. Institute of Artificial Intelligence, Collaborative Innovation Center for the Marine Artificial Intelligence, Shanghai University, Shanghai, China.

3. Navigation and Control Research Center, Department of Automation, Tsinghua University, Beijing, China.

Publisher

Mary Ann Liebert Inc

Subject

Artificial Intelligence,Biophysics,Control and Systems Engineering

Link

https://www.liebertpub.com/doi/pdf/10.1089/soro.2022.0134

Reference54 articles.

1. Coding and use of tactile signals from the fingertips in object manipulation tasks

2. Learning quadrupedal locomotion over challenging terrain

3. Robot grasp planning based on demonstrated grasp strategies

4. Robot grasp detection using multimodal deep convolutional neural networks

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