TY - GEN
T1 - Development and Control of Robot Hand with Finger Camera for Garment Handling Tasks
AU - Kondo, Hirokazu
AU - Luces, Jose Victorio Salazar
AU - Hirata, Yasuhisa
N1 - Funding Information:
This work was supported by the Innovation and Technology Commission of the HKSAR Government under the InnoHK initiative.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Robotic automation is steadily growing in different industries around the world. However, in some industries, such as garment manufacturing, most tasks are still predominantly manual, due to the flexible nature of clothes. Garment and clothes are easily deformed when some force is applied, so it is difficult for robots to handle them while predicting their deformation. Our general research goal is to realize flexible cloth handling using robots to automate different tasks in the garment manufacturing industry. We draw inspiration from the actions that humans perform when manipulating clothes and emulate them using a robotic system. In this paper, we developed a robot hand with a camera at the finger, to obtain local information of the contact between the garment and the robot hand, in order to achieve garment handling tasks. Specifically, we focus on the pinch and slide motion that humans perform when straightening a piece of cloth. We selected a specific task to be automated and proposed three manipulation strategies to approach the garment using visual information from the finger camera that enabled the system to perform the task consistently. We carried out two validation experiments to demonstrate the effectiveness of the proposed methods, and an application experiment where we evaluate their applicability to a specific task.
AB - Robotic automation is steadily growing in different industries around the world. However, in some industries, such as garment manufacturing, most tasks are still predominantly manual, due to the flexible nature of clothes. Garment and clothes are easily deformed when some force is applied, so it is difficult for robots to handle them while predicting their deformation. Our general research goal is to realize flexible cloth handling using robots to automate different tasks in the garment manufacturing industry. We draw inspiration from the actions that humans perform when manipulating clothes and emulate them using a robotic system. In this paper, we developed a robot hand with a camera at the finger, to obtain local information of the contact between the garment and the robot hand, in order to achieve garment handling tasks. Specifically, we focus on the pinch and slide motion that humans perform when straightening a piece of cloth. We selected a specific task to be automated and proposed three manipulation strategies to approach the garment using visual information from the finger camera that enabled the system to perform the task consistently. We carried out two validation experiments to demonstrate the effectiveness of the proposed methods, and an application experiment where we evaluate their applicability to a specific task.
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U2 - 10.1109/IROS47612.2022.9982134
DO - 10.1109/IROS47612.2022.9982134
M3 - Conference contribution
AN - SCOPUS:85146315608
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 8940
EP - 8947
BT - IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022
Y2 - 23 October 2022 through 27 October 2022
ER -