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Xuhao Qin

dblp:326/8620 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%
Human-computer interaction and pervasive computing
1 paper
Personal fabrication and tangible interfaces · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › tactile sensing › force/tactile sensing
multimodal tactile sensing
0.912025
HumanFT: A Human-Like Fingertip Multimodal Visuo-Tactile Sensor · ICRA 2025
Robotics › Robot manipulation
tactile sensing
0.912025
HumanFT: A Human-Like Fingertip Multimodal Visuo-Tactile Sensor · ICRA 2025
Robotics › Robot manipulation › tactile sensing › vision-based tactile sensing
visuotactile sensor
0.912025
HumanFT: A Human-Like Fingertip Multimodal Visuo-Tactile Sensor · ICRA 2025
Personal fabrication and tangible interfaces
sensor fabrication
0.312025
HumanFT: A Human-Like Fingertip Multimodal Visuo-Tactile Sensor · ICRA 2025

Methods — techniques the papers use, named apart from their topics

vibration detection · 1.7temperature sensing · 1.7force propagation · 1.7
YearPublicationVenuePosition
2025 HumanFT: A Human-Like Fingertip Multimodal Visuo-Tactile Sensor
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.
Yifan Wu 0035, Zhengying Zhu, Xuhao Qin, Chenxi Xiao
ICRA4