Thossapon Kaewrakmuk
Papers
2
Total Citations
5
H-Index
1
About
Thossapon Kaewrakmuk is a researcher advancing the field of robotic perception and tactile sensing, with a focus on enabling machines to interact more intelligently with their environments. His work centers on sensor data fusion, object recognition, and the application of deep learning to interpret complex physical properties. A key contribution is his novel approach to hardness recognition, where he integrates multisensor data and converts time-series signals into image encodings for analysis by convolutional neural networks. This method, detailed in his 2024 paper, has already garnered 4 citations, signaling its early impact in robotics. His foundational research from 2022 on object recognition using multi-input sensors—combining tactile and flex sensors with CNN architectures—established a framework for more nuanced robotic manipulation. By fusing disparate sensory inputs, Kaewrakmuk is addressing the critical challenge of enabling robots to perceive and classify objects as humans do, moving beyond simple visual cues to tactile understanding. His work is paving the way for more adaptive and capable robotic systems in manufacturing, prosthetics, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2