Papers
2
Total Citations
60
H-Index
2
About
Jikai Xu is a robotics researcher specializing in tactile sensing and contact-rich robotic manipulation. His most prominent contribution is the development of **9DTact**, a compact vision-based tactile sensor capable of accurate 3D shape reconstruction and generalizable 6D force estimation — a significant advancement in enabling robots to perform dexterous, contact-sensitive tasks. By leveraging vision-based sensing principles, Xu's work addresses a fundamental challenge in robotics: giving machines a reliable, high-dimensional sense of touch that translates to precise object positioning and contact state awareness during manipulation. The 9DTact sensor has garnered substantial attention from the robotics community, accumulating 58 citations since its 2023 publication, reflecting its rapid and meaningful impact in a competitive field. What makes this contribution particularly noteworthy is its emphasis on both compactness and generalizability — qualities that make the sensor practical for real-world deployment across diverse robotic platforms and tasks. Xu's research sits at the intersection of perception, sensing hardware, and manipulation, positioning him as an emerging voice in the growing field of robot tactile intelligence. His work offers promising foundations for future advances in robotic dexterity and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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