Daniel Xu
Papers
2
Total Citations
38
H-Index
2
About
Daniel Xu is a researcher at the forefront of soft robotics and smart materials, with a particular focus on dielectric elastomers—often called "artificial muscles." His work bridges fundamental material science and practical robotic actuation, most notably through his highly cited 2015 paper on "Sensing frequency design for capacitance feedback of dielectric elastomers" (28 citations), which introduced a novel method for integrating self-sensing capabilities into these compliant actuators. This contribution is critical for enabling closed-loop control in soft robots without bulky external sensors. Xu also demonstrated the real-world potential of this technology in his 2013 study on "Artificial Muscle Actuators for a Robotic Fish" (10 citations), where he successfully propelled a biomimetic fish using only dielectric elastomer actuators—a landmark achievement in the field. His work has been instrumental in advancing the practicality of soft actuators for underwater robotics and wearable devices. By tackling both the theoretical challenges of feedback control and the engineering hurdles of deployment, Xu has established himself as a key figure in the transition of artificial muscles from laboratory curiosities to functional robotic components.
Research Focus
Key Achievements
Top Papers
- 1Sensing frequency design for capacitance feedback of dielectric elastomers28 citations · 2015
- 2Artificial Muscle Actuators for a Robotic Fish10 citations · 2013