HumanFT: A Human-like Fingertip Multimodal Visuo-Tactile Sensor

October 14, 2024 Β· Declared Dead Β· πŸ› IEEE International Conference on Robotics and Automation

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Authors Yifan Wu, Yuzhou Chen, Zhengying Zhu, Xuhao Qin, Chenxi Xiao arXiv ID 2410.10353 Category cs.RO: Robotics Citations 3 Venue IEEE International Conference on Robotics and Automation Last Checked 4 months ago
Abstract
Tactile sensors play a crucial role in enabling robots to interact effectively and safely with objects in everyday tasks. In particular, visuotactile sensors have seen increasing usage in two and three-fingered grippers due to their high-quality feedback. However, a significant gap remains in the development of sensors suitable for humanoid robots, especially five-fingered dexterous hands. One reason is because of the challenges in designing and manufacturing sensors that are compact in size. In this paper, we propose HumanFT, a multimodal visuotactile sensor that replicates the shape and functionality of a human fingertip. To bridge the gap between human and robotic tactile sensing, our sensor features real-time force measurements, high-frequency vibration detection, and overtemperature alerts. To achieve this, we developed a suite of fabrication techniques for a new type of elastomer optimized for force propagation and temperature sensing. Besides, our sensor integrates circuits capable of sensing pressure and vibration. These capabilities have been validated through experiments. The proposed design is simple and cost-effective to fabricate. We believe HumanFT can enhance humanoid robots' perception by capturing and interpreting multimodal tactile information.
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