Object classification robot hand system using thermal conductivity

Heon Ick Park; Youngsu Cha

doi:10.1117/12.2657012

18 April 2023 Object classification robot hand system using thermal conductivity

Heon Ick Park, Youngsu Cha

Proceedings Volume 12485, Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023; 124850A (2023) https://doi.org/10.1117/12.2657012
Event: SPIE Smart Structures + Nondestructive Evaluation, 2023, Long Beach, California, United States

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.

Conference Presentation

Citation Download Citation

Heon Ick Park and Youngsu Cha "Object classification robot hand system using thermal conductivity", Proc. SPIE 12485, Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2023, 124850A (18 April 2023); https://doi.org/10.1117/12.2657012

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