Object classification robot hand system using thermal conductivity

Heon Ick Park; Youngsu Cha

doi:10.1117/12.2657012

Object classification robot hand system using thermal conductivity

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, an object classification system by thermal conductivity is introduced. This system comprises a module of a flexible thermoelectric device (TED) and a resistance temperature detector sensor (RTD). The module is integrated with a silicone finger cot and is equipped onto a robot hand. Before grasping an object, the TED on the robot hand is heated to a specific temperature in degrees Celsius higher than room temperature. While the robot hand grasps an object, heat generated by the TED is transferred to the object. Sequentially, the RTD sensor detects heat variation of the object. And then, data from the sensor is computer-processed to classify the object. This object classification system successfully manipulates a real-time object identification by utilizing an intrinsic material property: thermal conductivity.

Original language	English
Title of host publication	Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023
Editors	Jaehwan Kim, Ilkwon Oh, Maurizio Porfiri, Hargsoon Yoon
Publisher	SPIE
ISBN (Electronic)	9781510660779
DOIs	https://doi.org/10.1117/12.2657012
Publication status	Published - 2023
Event	Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023 - Long Beach, United States Duration: 2023 Mar 13 → 2023 Mar 14

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12485
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023
Country/Territory	United States
City	Long Beach
Period	23/3/13 → 23/3/14

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Ministry of Science and ICT(MSIT) (No.2022M3C1A3098746).

Publisher Copyright:
© 2023 SPIE.

Keywords

Object classification
Temperature sensor
Thermal conductivity

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2657012

Cite this

Object classification robot hand system using thermal conductivity. / Park, Heon Ick; Cha, Youngsu.
Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023. ed. / Jaehwan Kim; Ilkwon Oh; Maurizio Porfiri; Hargsoon Yoon. SPIE, 2023. 124850A (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12485).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, HI & Cha, Y 2023, Object classification robot hand system using thermal conductivity. in J Kim, I Oh, M Porfiri & H Yoon (eds), Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023., 124850A, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12485, SPIE, Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023, Long Beach, United States, 23/3/13. https://doi.org/10.1117/12.2657012

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AB - In this paper, an object classification system by thermal conductivity is introduced. This system comprises a module of a flexible thermoelectric device (TED) and a resistance temperature detector sensor (RTD). The module is integrated with a silicone finger cot and is equipped onto a robot hand. Before grasping an object, the TED on the robot hand is heated to a specific temperature in degrees Celsius higher than room temperature. While the robot hand grasps an object, heat generated by the TED is transferred to the object. Sequentially, the RTD sensor detects heat variation of the object. And then, data from the sensor is computer-processed to classify the object. This object classification system successfully manipulates a real-time object identification by utilizing an intrinsic material property: thermal conductivity.

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Object classification robot hand system using thermal conductivity

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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