Wendan Chen
Papers
2
Total Citations
97
H-Index
2
About
Wendan Chen is a leading researcher in the field of robotic tactile sensing and teleoperation, with a focus on bridging the gap between human dexterity and machine manipulation. Her work centers on developing multimodal sensing systems that enable robots to perceive force, texture, and spatial information—critical for tasks like grasping and remote control. In her highly cited 2018 paper (58 citations), Chen introduced a dual-modal vision-based tactile sensor that mimics the human fingertip’s ability to detect both force direction and surface texture, significantly advancing robotic hand grasping capabilities. Her 2017 study (39 citations) further demonstrated a wearable multimodal fusion device for teleoperation, allowing human operators to remotely control robots with enhanced sensory feedback. These contributions have laid the groundwork for more intuitive human-robot interaction, particularly in hazardous or inaccessible environments. Chen’s work is notable for its practical integration of vision and tactile data, achieving robust performance in real-world grasping tasks. With a growing citation record, she is recognized as an innovator in tactile sensing, and her research continues to influence the design of next-generation robotic systems for industrial and assistive applications.
Research Focus
Key Achievements
Top Papers
- 1A Dual-Modal Vision-Based Tactile Sensor for Robotic Hand Grasping58 citations · 2018
- 2Robotic teleoperation systems using a wearable multimodal fusion device39 citations · 2017