Papers
19
Total Citations
782
H-Index
12
About
Xiaojiao Chen is a pioneering researcher in soft robotics, specializing in dexterous robotic hand design, soft actuator development, and human-robot interaction. Her work has fundamentally advanced the field by demonstrating that soft robotic systems can achieve remarkable dexterity previously thought to require complex rigid mechanisms. Her landmark BCL-13 robotic hand (2018, 162 citations) introduced a 13-DOF four-fingered design capable of sophisticated in-hand manipulation, while her broader survey on anthropomorphic soft robotic hands (2019, 141 citations) has become a key reference for researchers entering the field. Chen's contributions extend deeply into actuator innovation — her Fiber-Reinforced Origamic Robotic Actuator (FORA) nearly doubled the motion range of traditional McKibben actuators, and her proprioceptive bellows actuator integrated sensing directly into soft structures. She has also advanced assistive technology through a lightweight soft robotic glove weighing under 50 grams for rehabilitation applications. More recently, Chen has explored machine learning approaches to soft robot proprioception using recurrent neural networks. With over 700 combined citations across her most influential works, Chen's research consistently bridges elegant mechanical design with practical human-centered applications, making her a significant voice in next-generation robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Soft-Robotic Approach to Anthropomorphic Robotic Hand Dexterity141 citations · 2019
- 3
- 4Fiber-Reinforced Origamic Robotic Actuator86 citations · 2017
- 5
- 6Design and Modeling of an Extensible Soft Robotic Arm42 citations · 2019
- 7
- 8
- 9A robotic manipulator design with novel soft actuators29 citations · 2017
- 10