Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Pneumatic muscle actuators within robotic and mechatronic systems
Pneumatic Artificial Muscles : actuators for robotics and automation
Dynamic simulation of pneumatic muscle actuator in Matlab/Simulink environment
Dynamic simulation model of pneumatic actuator with artificial muscle
A circular pneumatic muscle actuator (CPMA) inspired by human skeletal muscles
Study on mechanical behaviors of pneumatic artificial muscle
Dynamic modeling of Mckibben pneumatic artificial muscles for antagonistic actuation
Second generation pleated pneumatic artificial muscle and its robotic applications
Static and dynamic characteristics of McKibben pneumatic artificial muscles
DYNAMIC MODELING OF ONE DEGREE OF FREEDOM PNEUMATIC MUSCLE-BASED ACTUATOR FOR INDUSTRIAL APPLICATIONS
Measurement And Modeling of McKibben Pneumatic Artificial Muscles
Precise Positioning of Pneumatic Artificial Muscle Systems
Modeling of braided pneumatic actuators for robotic control
Modeling the Dynamic Characteristics of Pneumatic Muscle
The Concept and Design of Pleated Pneumatic Artificial Muscles
Development of a pneumatic soft actuator with pleated inflatable structures
Printable pneumatic artificial muscles for anatomy-based humanoid robots
Design of a Pneumatic Muscle Based Continuum Robot With Embedded Tendons
Braid Effects on Contractile Range and Friction Modeling in Pneumatic Muscle Actuators
Kinematics of a new class of smart actuators for soft robots based on generalized pneumatic artificial muscles
Pouch Motors: Printable/inflatable soft actuators for robotics
Evaluating and Improving Annotation Tools for Medical Forms
Self-esteem, Self-efficacy, and Appearance Assessment of Young Female Patients Undergoing Facial Cosmetic Surgery: A Comparative Study of the Chinese Population.
Mobility-Aware Application Scheduling in Fog Computing
Fatigue characteristics of McKibben artificial muscle actuators
Compensated-DNN: Energy Efficient Low-Precision Deep Neural Networks by Compensating Quantization Errors