Yichen Ma

Shenzhen University

Papers

1

Total Citations

4

H-Index

1

About

Yichen Ma is a pioneering researcher in the field of robotic tactile perception, with a focus on enabling machines to interact with their environments as intuitively as humans do. Their key research areas include embodied intelligence, dynamic tactile sensing, and human-robot interaction, where they have made significant strides in bridging the gap between electronic and human skin. Ma’s most notable contribution is their 2024 paper, “Robot Embodied Dynamic Tactile Perception of Liquid in Containers,” which has already garnered 4 citations—a strong start for a recent work. This study addresses a longstanding challenge in robotics: the ability to perceive liquid properties through active, dynamic touch, mimicking human sensory exploration. By developing novel sensing algorithms and hardware, Ma has opened new avenues for robots to perform delicate tasks, such as handling containers with varying liquid levels, without relying on vision. Their work is particularly impactful for applications in manufacturing, healthcare, and domestic robotics, where precise tactile feedback is critical. Ma’s research not only advances the field of electronic skin but also lays the groundwork for more adaptive and responsive robotic systems, making them a rising star in embodied AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robot Embodied Dynamic Tactile Perception of Liquid in Containers
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenzhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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